Abstract: In one aspect, a computerized method for implementing a hierarchical image matting framework comprising: with a hierarchical image matting framework: analyzing a plurality of patches in a set of input images; determining a complexity of each image in the set of input images, and processing each image according the complexity of each image to determine a plurality of complex patches of each image and a plurality of simpler patches of each image; routing a plurality of complex patches with finer details to a computationally heavier network; routing a plurality of those with simpler patches of each image to a relatively lighter network; and fusing the outputs from the computationally heavy network and the computationally light network to obtain a plurality of alpha mattes.

Abstract: A low-dropout (LDO) regulator circuit with dynamic transitioning between first and second operation modes. The LDO regulator circuit includes an operational amplifier with a first input connected to a reference voltage, a feedback circuit connected between a second input of the operational amplifier and an output of the LDO regulator circuit, and a pass transistor selectively coupled to the feedback circuit and an output of the operational amplifier via a set switches controlled by a switch mode enable signal. The LDO regulator circuit transitions between the first and second operation modes responsive to one or more changes of the switch mode enable signal. In the first operation mode, a load voltage at the output of the LDO regulator circuit has a first voltage value that depends on the reference voltage. In the second operation mode, the load voltage has a second voltage value independent from the reference voltage.

Abstract: Our Names in physical and real world have transformed into ‘username’s in virtual digital world. Anything that we need to access in digital world asks us for a ‘username’, which can be user selected (like an e-mail address) or provided to a user (like an employee ID/Number). This ‘username’ has indeed become a SuperName, giving access to restricted areas, based on privileges, links to other services as well. So, to a cybercriminal, if a ‘username; is known, more than half the job is done. And once corresponding password is cracked, the whole digital identity lies threadbare. Damages done through transactions of such unauthorized access may get quantified, but dent to privacy is far more damaging.

Abstract: An approach for optimizing storage on a local storage device. The approach identifies a stored or being stored on a user's local storage device. The approach extracts metadata from the media file. The approach searches the user-associated storage locations for a matching media file based on the metadata. If the approach locates the matching media file, then the approach, using artificial intelligence (AI), predicts if the local device storage should be optimized for the media file, then the approach, using AI, stores a link to the matching media file on the local device storage and removes the media file from the local device storage.

Abstract: Described is a secure, electronic, submission process providing and enabling applicants to initiate requests to desirous requestors seeking such submissions based on authenticated and trusted identities and/or credentials or which could be authenticated securely through other defined processes. SafeCase is an innovative process for convenience, ease and security in application submissions for anyone and everyone through an electronic interface that has been built innovatively on the strong foundations of Identity Management, giving irrevocable and irrefutable trust on the Identity and/or credentials and/or the purpose that an applicant is applying for or wishes to achieve. SafeCase is an end-to-end secure and transparent interface, wherein the applicant (i.e. the Candidate) utilizes his/her Authenticated Credential(s) or Identity(ies) to submit an application. The applicant remains updated in real time on the status of the submitted application till its final disposal.

Abstract: This application discloses a computing system to identify suspected defects in a manufactured integrated circuit, which correspond to electrical failures detected by a test applied to the manufactured integrated circuit. The computing system can utilize the suspected defects in the manufactured integrated circuit to cluster features in a physical layout design describing the manufactured integrated circuit. Each cluster of the features corresponds to a candidate for a physical root cause of the suspected defects in the manufactured integrated circuit. The computing system can detect a physical root cause of the electrical failures in the manufactured integrated circuit based on the clusters of the features. A physical failure analysis process includes an inspection of the manufactured integrated circuit to confirm the physical root cause of the electrical failures in the manufactured integrated circuit corresponds to a systemic manufacturing fault in the manufactured integrated circuit.

Abstract: A computer implemented method, apparatus, system, and computer program product for recommending item attributes. A computer system determines the item attributes in an item profile for an item offered by a seller on an item transaction platform. The computer system identifies interactions between the seller and a potential buyer regarding the item. The computer system determines a set of missing item attributes from the item profile based on the interactions between the seller and the potential buyer. The computer system recommends a set of actions for the set of missing item attributes identified to a seller of the item in a recommendation. The computer system performs a set of actions in the recommendation using the set of missing item attributes in response to a user input from the seller responding to the recommendation.

Abstract: A garment is wearable on an anatomical region and includes electrodes contacting the anatomical region when the garment is worn on the anatomical region. An electronic controller is configured to detect electromyography (EMG) signals as a function of anatomical location and time using the electrodes, and identify tremors as a function of anatomical location and time based on the EMG signals.

Abstract: A method for verifying a drone included in an industrial Internet of Things (IIoT) system, using a petri-net modeling is disclosed. In an embodiment, the method includes a step of modeling the IIoT system as a hierarchical petri-net (modeling step); and a step of verifying whether the drone has security vulnerability on the basis of the hierarchical petri-net model (verification step), wherein the verification step can determine that a drone has security vulnerability when at least one of a plurality of determination factors provided as places to the hierarchical petri-net model determines that the drone is operating abnormally.

Abstract: For a seamless and robust artificial intelligence-based assistant experience, an intent-based query and response router has been designed to operate as an intelligent layer between a user and multiple backend services that may respond to one or more queries over the course of a conversation with the user. The query router interacts with an intent classification service to obtain an intent classification for a prompt that is based on a user query. The query router uses the intent classification, which is used as an identifier of a backend service, to route the user query to an appropriate one (or more) of the backend services. When a response is detected, the query router determines a corresponding conversation and provides the response for the conversation.

Abstract: Systems and methods for providing called devices with sets of context data associated with communication sessions are disclosed. In one implementation, a method for generating context data associated with a communications session may include receiving, from a calling device at a first subsystem, a request to establish a communications session. The request may include a first identifier associated with the calling device. The method may further include receiving, at a second subsystem, activities data associated with the calling device that transmitted the request to establish the communications session. The activities data may include a second identifier associated with the calling device and may be indicative of device activities of the calling device.

Abstract: The present disclosure provides a model for deep learning based image feature extraction considering a range of useful negative features. Conventional methods are either considering only positive features or considering all negative features along with positive features which leads to bias in feature extraction. The present disclosure overcomes the problem of the conventional methods using a bounded Rectified Linear activation Unit (B-ReLU) activation function based Bounded-Rectifier Network (B-RectNet). Initially, the present disclosure receives an image pertaining to an object. Further, the received image is preprocessed to remove a plurality of anomalies associated with the image a preprocessing technique. Further, a plurality of image features are extracted based on the preprocessed image using a trained B-RectNet.

Abstract: A tremor suppression device includes a garment wearable on an anatomical region and including electrodes contacting the anatomical region when the garment is worn on the anatomical region, and an electronic controller configured to: detect electromyography (EMG) signals as a function of anatomical location and time using the electrodes; identify tremors as a function of anatomical location and time based on the EMG signals; and apply neuromuscular electrical stimulation (NMES) at one or more anatomical locations as a function of time using the electrodes to suppress the identified tremors.

Abstract: Embodiments of the disclosure provide a system and method of allocating a resource based on myriad input data. In some embodiments, the myriad input data include membership information, claims data, transactional data, etc. The myriad input data are sorted and organized in a meaningful association relationship before applied to a resource allocation modeling algorithm. The resource allocation modeling algorithm provides estimated resource necessary for the application chosen. For example, an insurance company may use membership information, claims data, transactional data, etc., to estimate how much reserves or funds it should hold to cover future claims within a certain timeframe.

Abstract: A portable and wearable hand-grasp neuro-orthosis is configured for use in a home environment to restore volitionally controlled grasp functions for a subject with a cervical spinal cord injury (SCI). The neuro-orthosis may include: a wearable sleeve with electrodes; electronics for operating the wearable sleeve to perform functional electrical stimulation (FES) and electromyography (EMG), the electronics configured for mounting on a wheelchair; and a controller configured for mounting on a wheelchair. The controller controls the electronics to read EMG via the sleeve, decode the read EMG to determine an intent of the user, and operate the electronics to apply FES via the sleeve to implement the intent of the user. The neuro-orthosis may restore hand function. The controller may include a display arranged to be viewed by the subject, for example mounted on an articulated arm attached to the wheelchair.

Abstract: An activity assistance system includes a video camera arranged to acquire video of a person performing an activity, an output device configured to output human-perceptible prompts, and an electronic processor programmed to execute an activity script. The script comprises a sequence of steps choreographing the activity. The execution of each step includes presenting a prompt via the output device and detecting an event or sequence of events subsequent to the presenting of the prompt. Each event is detected by performing object detection on the video to detect one or more objects depicted in the video and applying one or more object-oriented image analysis functions to detect a spatial or temporal arrangement of one or more of the detected objects. Each event detection triggers an action comprising at least one of presenting a prompt via the output device and and/or going to another step of the activity script.

Abstract: A tremor suppression device includes a garment wearable on an anatomical region and including electrodes contacting the anatomical region when the garment is worn on the anatomical region, and an electronic controller configured to: detect electromyography (EMG) signals as a function of anatomical location and time using the electrodes; identify tremors as a function of anatomical location and time based on the EMG signals; and apply neuromuscular electrical stimulation (NMES) at one or more anatomical locations as a function of time using the electrodes to suppress the identified tremors.

Abstract: A portable and wearable hand-grasp neuro-orthosis is configured for use in a home environment to restore volitionally controlled grasp functions for a subject with a cervical spinal cord injury (SCI). The neuro-orthosis may include: a wearable sleeve with electrodes; electronics for operating the wearable sleeve to perform functional electrical stimulation (FES) and electromyography (EMG), the electronics configured for mounting on a wheelchair; and a controller configured for mounting on a wheelchair. The controller controls the electronics to read EMG via the sleeve, decode the read EMG to determine an intent of the user, and operate the electronics to apply FES via the sleeve to implement the intent of the user. The neuro-orthosis may restore hand function. The controller may include a display arranged to be viewed by the subject, for example mounted on an articulated arm attached to the wheelchair.

Abstract: At least one electrical brain signal is received from a patient and is demultiplexed into an efferent motor intention signal and at least one afferent sensory signal (such as an afferent touch sense signal and/or an afferent proprioception signal). A functional electrical stimulation (FES) device is controlled to apply FES to control a paralyzed portion of the patient that is paralyzed due to a spinal cord injury of the patient. The controlling of the FES device is based on at least the efferent motor intention signal. A demultiplexed afferent touch sense signal may be used to control a haptic device. The afferent sensory signal(s) may be used to adjust the FES control.

Abstract: The present disclosure provides an end-to-end proctoring system and method for conducting a secure online examination. The system comprises an image capturing device and an audio recording device for capturing and recording a plurality of live face images and a plurality of audio files of one or more users respectively. A processor is programmed to execute one or more module(s) stored in a memory, including, but not limited to, a user face recognition module, an occlusion detection module, a user authentication module, an object detection module, and an audio analytics module. The processor is further configured to control a warning module that may output a notification signal for the one or more module(s) when at least one suspicious activity is determined during the secure online examination. Further, the system with the processor for executing the one or more module(s) is pre-trained on various deep learning-based approaches for conducting a secure online examination.