Abstract: A vehicular driving assist system includes a camera disposed at a vehicle. The system, while the equipped vehicle is traveling along a traffic lane, determines lane markings of the traffic lane. The system determines curvature of the traffic lane based on (i) curvature of the determined lane markings and (ii) map data representative of a current geographical location of the vehicle. The system, based at least in part on the determined curvature, determines a target velocity profile that establishes a target lateral velocity for the vehicle to follow as the vehicle travels along the traffic lane of the road. Based at least in part on the determined target velocity profile, the system decelerates the vehicle to follow the target velocity profile as the vehicle travels along the traffic lane of the road while lateral acceleration of the equipped vehicle remains below a maximum allowable lateral acceleration.

Abstract: The information processing device obtains a character string image which includes a plurality of characters, and which includes the characters arranged in an arrangement direction, obtains a probability image representing a probability of an existence of a character in each of the pixel included in the character string image, obtains a plurality of character regions in which the characters are estimated to respectively exist in the character string image based on the probability image, obtains an additional character region which is located in the character string image, and which does not overlap the plurality of character regions based on a determination result on whether or not a pixel of a non-background color exists in a direction perpendicular to the arrangement direction at every position in the arrangement direction in the character string image, and recognizes the plurality of characters from the character regions and the additional character region.

Abstract: To easily and correctly determine substantial identity of a plurality of images in each of which an object is placed, provided is an image judgement method including steps of obtaining first object data from a first image with a use of an R-CNN 12, which is a first machine learning model, where the first object data indicates an attribute and a layout of an object in the first image, obtaining second object data from a second image with a use of the R-CNN 12, where the second object data indicates an attribute and a layout of an object in the second image, and determining substantial identity of the first image and the second image based on the first object data and the second object data with a use of a CNN, which is a second machine learning model.

Abstract: Methods and apparatus related to determining a triggering event of a user, selecting media relevant to the triggering event, and providing the selected media to the user. Some implementations are directed to methods and apparatus for determining a past event of the user that is indicative of past interaction of the user with one or more past entities and the triggering event may be determined to be associated with the past event. The media selected to provide to the user may contain media that includes the one or more past entities associated with the past event and the media may be provided to the user in response to the triggering event.

Abstract: A respiratory device includes a blower having an inlet and an outlet, a patient interface, and a valve including a valve member that is rotatable from a first position to a second position. The outlet of the blower is coupled to the patient interface so that positive pressure is provided to a patient's airway via the patient interface when the valve member is in the first position. The inlet of the blower is coupled to the patient interface so that negative pressure is provided to the patient's airway via the patient interface when the valve member is in the second position. The valve member is rotatably oscillated back and forth when the valve member is in the first position and when the valve member is in the second position so that oscillations in the positive pressure and negative pressure, respectively, are provided to the patient's airway.

Abstract: The present disclosure relates to devices and methods for creating one or more proxy devices in a guest device mirroring the devices hosted by a host device. The proxy devices may provide full device access functionality to applications running in the guest device. The devices and methods may load a proxy driver inside the guest device, which communicates with the host device. When applications running on the guest device interact with the proxy devices, the proxy driver communicates the interaction to the host device, which communicates with the device driver managing the device. The devices and methods allow applications running on the host and applications running on the guest to shares access to the same device.

Abstract: Systems and methods for facilitating a watch party are provided. In one example, a method includes: initiating a watch party session for a host user using, presenting content selected by the host user on a first user device during the watch party session, initiating a chat session concurrent with the watch party session, receiving a participation request by a guest user sent from a second user device for participating in the chat session; in response to the participation request, authenticating the guest user; presenting the content selected by the host user on the second user device; synchronizing the presentation of the content on the first user device with the presentation of the second user device; and facilitating communication between the host user and the guest user during the chat session.

Abstract: A respiratory device includes a blower having an inlet and an outlet, a patient interface, and a valve including a valve member that is rotatable from a first position to a second position. The outlet of the blower is coupled to the patient interface so that positive pressure is provided to a patient's airway via the patient interface when the valve member is in the first position. The inlet of the blower is coupled to the patient interface so that negative pressure is provided to the patient's airway via the patient interface when the valve member is in the second position. The valve member is rotatably oscillated back and forth when the valve member is in the first position and when the valve member is in the second position so that oscillations in the positive pressure and negative pressure, respectively, are provided to the patient's airway.

Abstract: A system derives training set factors for a customer sentiment score associated with a training set customer corresponding to training set support tickets, and a training set factor for a rate of a critical status corresponding to the training set support tickets. The system uses the training set factors to train a machine-learning model to determine a customer health score associated with the training set customer. The system derives factors for a customer sentiment score associated with a customer corresponding to support tickets, and a factor for a rate of a critical status corresponding to the support tickets. The trained machine-learning model uses the factors to determine a customer health score associated with the customer. The system enables a selection of escalating any customer account, de-escalating any customer account, escalating any support ticket, and/or de-escalating any support ticket, associated with the customer, in response to outputting the customer health score.

Abstract: In an example, a system includes an oscillator circuit on a chip. The oscillator circuit includes a charging current generator including a current mirror and an amplifier, where the amplifier is coupled to a pin of the chip. The oscillator circuit also includes a first switch coupled to the pin, a second switch coupled to the pin and to a charging resistor, and a third switch coupled to the amplifier and an internal resistor, where the internal resistor is internal to the chip. The oscillator circuit includes a bias current source coupled to the current mirror. The system includes an external resistor coupled to the pin, where the external resistor is external to the chip. The system also includes an external capacitor coupled to the pin and coupled in parallel to the external resistor, where the external capacitor is external to the chip.

Abstract: A method of controlling a plurality of home appliances to regulate humidity includes monitoring a humidity value from one or more of a humidity sensor. The method also includes detecting, by at least one of the one or more humidity sensors, the humidity value is less than a threshold humidity value. The method further includes releasing, at one or more appliances of the plurality of home appliances, water vapor. Artificial intelligence detects the one or more humidity sensors that detects the humidity value less than the threshold humidity value, and releases water vapor at the one or more appliances of the plurality of appliances proximate the one or more humidity sensors.

Abstract: Embodiments of the disclosure generally relate to a semiconductor processing chamber. In one embodiment, semiconductor processing chamber is disclosed and includes a chamber body having a bottom and a sidewall defining an interior volume, the sidewall having a substrate transfer port formed therein, and one or more absorber bodies positioned in the interior volume in a position opposite of the substrate transfer port.

Abstract: An headphone system (100) with improved sound reproduction capability is disclosed. The system includes a housing (101); a receiver configured with the housing (101) and to receive audio signals from one or more computing devices; a control circuitry (108) configured with the housing (101). A frequency of each of the received audio signals is determined by extracting audio attributes from the received audio signals. Then the determined frequency of each of the received audio signals is compared with a predefined threshold. In response to the comparison, the received audio signals are segregated into at least two set of signals including a first set of audio signals and a second set of audio signals. The first set of audio signals is converted into a first set of vibration signal energy and a second set of audio signals is converted into a second set of vibration signal.

Abstract: The present subject matter discloses a system and method for detecting Large Vessel Occlusion (LVO) on a Computational Tomography Angiogram (CTA) automatically. the system comprises a vascular-territory-segmentation module, an ICV segmentation module, MCA-LVO classifier and ICA-LVO classifier. The vascular territory segmentation module is configured to receive a set of CTA images and to mark a territory of vascular segments in the ICV region for each slice of the ROI. The ICV segmentation module is configured to process each slice of the ROI. The processed slices of the ROI are combined to develop a CTA image after application of MIP and the developed CTA image is segmented into a Middle Cerebral Artery (MCA) region and an Internal Cerebral Artery (ICA) region. The MCA-LVO and ICA-LVO classifiers determine presence of the LVO on the received MCA and ICA region using Deep Learning techniques and accordingly the presence of the LVO is reported.

Abstract: The present subject matter discloses a system and method for automatically detecting and quantifying a plaque/stenosis in a vascular ultrasound scan data in real time using Deep learning models. The system receives a video data and selects one or more frames/images for further processing to detect and quantify the plaque in the artery. Based on the selected one or more frames, the system detects a region of interest (ROI) and further processes the ROI. The system selects end points of a deposits of the plaque by taking a maximum length of the plaque in the artery/plaque boundary and determines the orientation of the vascular ultrasound scan. Based on the orientation and the selected end points, the system determines a vessel/artery boundary to identify a size of the plaque. Based on the determined vessel boundary and the orientation, the system determines plaque segments and measures parameters of the plaque.

Abstract: A system for offloading traffic from a cellular network to a broadcast network is provided. The offloading mechanism caters to both unicast and broadcast traffic. The system includes a converged cellular core network, World Wide Web, a CDN, a Broadcast Offload Packet Core (BO-PC), a cellular base station, a Broadcast Radio Head, and a converged UE. The converged cellular core network includes an enhanced packet core, a policy rules engine and a packet inspection and steering unit. The BO-PC includes a Broadcast Proxy, a subscriber database, a Broadcast Offload Service Center, a Broadcast Offload Gateway and an analytics engine. For offloading the unicast traffic, the packet inspection and steering unit identifies sessions that are offloaded for supporting offload of the traffic from the converged cellular core network to the broadcast network.

Abstract: In an example, a system includes an oscillator circuit on a chip. The oscillator circuit includes a charging current generator including a current mirror, an amplifier, and an on-chip resistor, where the on-chip resistor is coupled to a pin on the chip. The oscillator circuit also includes oscillator circuitry coupled to the charging current generator, where the oscillator circuitry includes a comparator, a phase generator, a first capacitor coupled to a first resistor, and a second capacitor coupled to a second resistor. The system also includes an external resistor coupled to the pin, where the external resistor is external to the chip. The system includes an external capacitor coupled to the pin, where the external capacitor is external to the chip.

Abstract: A system for offloading traffic from a cellular network to a broadcast network is provided. The offloading mechanism caters to both unicast and broadcast traffic. The system includes a converged cellular core network, World Wide Web, a CDN, a Broadcast Offload Packet Core (BO-PC), a cellular base station, a Broadcast Radio Head, and a converged UE. The converged cellular core network includes an enhanced packet core, a policy rules engine and a packet inspection and steering unit. The BO-PC includes a Broadcast Proxy, a subscriber database, a Broadcast Offload Service Center, a Broadcast Offload Gateway and an analytics engine. For offloading the unicast traffic, the packet inspection and steering unit identifies sessions that are offloaded for supporting offload of the traffic from the converged cellular core network to the broadcast network.

Abstract: Systems and methods are described for performing persistent inflight tracking of operations (Ops) within a cross-site storage solution. According to one embodiment, a method comprises maintaining state information regarding a data synchronous replication status for a first storage object of a primary storage cluster and a second storage object of a secondary storage cluster. The state information facilitates automatic triggering of resynchronization for data replication between the first storage object and the second storage object. The method includes performing persistent inflight tracking of I/O operations with a first Op log of the primary storage cluster and a second Op log of the secondary storage cluster, establishing and comparing Op ranges for the first and second Op logs, and determining a relation between the Op range of the first Op log and the Op range of the second Op log to prevent divergence of Ops in the first and second Op logs and to support parallel split of the Ops.

Abstract: To accurately identify a region corresponding to a position where an object is preset in an image, an object region identification device acquires a first frame image and a second frame image that are temporally successive. The device inputs the first frame image to a model that identifies an object in an image and acquires position information, the position affecting identification of an object in the first frame image. The device acquires motion information indicating a motion of the object in the first frame image based on the first frame image and the second frame image. The device generates, based on the acquired position information and motion information, region information indicating a region in the first frame image, the region corresponding to a position where the object is present.