Abstract: The present invention relates to a protective case for foldable mobile devices. The folding case according to the present invention comprises a first case and a second case, wherein the folding case further comprises a side cover which rotates by an elastic part as the foldable mobile device is folded or unfolded, and provides a full protection for the entire foldable mobile device including each corner of its hinge part. The folding case according to the present invention covers the hinge part smoothly without any unfavorable space or gap, and it provides the satisfaction with the use and the beauty of the overall appearance as the users would conceive that the two separated case parts and the hinge part operates as if those parts form one united case.

Abstract: A wireless communication system comprises: a setting notifying means for notifying, to a radio terminal, setting information related to at least one of the radio terminal's collection of measurement information and the radio terminal's reporting of the measurement information to a radio network; a status notifying means for notifying, to the radio network, a status related to at least one of the radio terminal's collection of the measurement information and the radio terminal's reporting of the measurement information; and a re-establishing means for receiving the status and determining whether to re-establish the setting information.

Abstract: A method and a system for measuring morphological parameters of an intracranial aneurysm image, the method comprises: segmenting an intracranial parent artery image from three-dimensional DICOM data of DSA (S101); segmenting the intracranial aneurysm image on the intracranial aneurysm image (S102); and measuring morphological parameters of the intracranial aneurysm image (S103). The method and the system for measuring the morphological parameters of the intracranial aneurysm image as disclosed may implement automated measurement of the intracranial aneurysm image, quickly measure morphological parameters of the intracranial aneurysm image, and guarantee consistency between measurements of morphological parameters of the aneurysm image.

Abstract: In some implementations, a target object identification system may train a machine learning model to identify a target object in a volume of solid waste. The target object identification system may receive, from at least one imaging device positioned in a waste processing facility, imaging data associated with a portion of a volume of solid waste. The target object identification system may identify, using the trained machine learning model and based at least in part on the imaging data, the target object, wherein the target object is disposed within the volume of solid waste. The target object identification system may provide, to a separator control assembly that controls a separator, an output associated with the target object, wherein the output is to facilitate removal of the target object from the volume of solid waste.

Abstract: A method for creating training data for an artificial intelligence system to classify hyperspectral data. The method including receiving a hyperspectral image from a data source, wherein the hyperspectral image includes a first pixel group associated with a first classification, forming from the hyperspectral image a first augmented image using a first augmentation algorithm and a second augmented image using a second augmentation algorithm, selecting a first group of sample pixels from the hyperspectral image, the first augmented image and the second augmented image, wherein each pixel of the selected first group of sample pixels is having an association with the first classification or with a second classification and providing the selected first group of sample pixels and the associated classifications of each pixel for an artificial training system to be used as a training data.

Abstract: Systems, devices, and methods for co-registering electro-anatomical images are provided. In one embodiment of the present disclosure, treatment locations are displayed to the physician on an image of the remodeled heart by co-registering first and second electro-anatomical images based on: (1) a first electro-anatomical image of an anatomy, (2) treatment location data indicating treatment locations with respect to the first electro-anatomical image, (3) a second electro-anatomical image of the anatomy after the anatomy has remodeled, and (4) a non-rigid transformation that transforms the first electro-anatomical image to the second electro-anatomical image of the remodeled anatomy. The non-rigid transformation is applied to the treatment location data to map the treatment locations to the second electro-anatomical image of the remodeled anatomy.

Abstract: A playset comprises a near field communication extending system. The near field communication extending comprises a main antenna and a plurality of extending antennas. The main antenna is positioned at a first location of the playset and configured to wirelessly communicate to a near field communication device of a mobile device. The plurality of extending antennas is positioned at a plurality of different locations in an interior of the playset. Each of the plurality of extending antennas is connectable to the main antenna via a plurality of connection elements. The playset further comprises an antenna switching mechanism coupled to the plurality of extending antennas via a plurality of connection elements. The antenna switching mechanism is configured to switchably couple the main antenna with each of the plurality of extending antennas.

Abstract: A novel distributed method for machine learning is described, where the algorithm operates on a plurality of data silos, such that the privacy of the data in each silo is maintained. In some embodiments, the attributes of the data and the features themselves are kept private within the data silos. The method includes a distributed learning algorithm whereby a plurality of data spaces are co-populated with artificial, evenly distributed data, and then the data spaces are carved into smaller portions whereupon the number of real and artificial data points are compared. Through an iterative process, clusters having less than evenly distributed real data are discarded. A plurality of final quality control measurements are used to merge clusters that are too similar to be meaningful. These distributed quality control measures are then combined from each of the data silos to derive an overall quality control metric.

Abstract: A method and an apparatus for detecting a lane is provided. The lane detection apparatus according to an embodiment includes: an acquisition unit configured to acquire a front image of a vehicle; and a processor configured to input the image acquired through the acquisition unit to an AI model, and to detect information of a lane on a road, and the AI model is trained to detect lane information that is expressed in a plane form from an input image. Accordingly, data imbalance between a lane area and a non-lane area can be solved by using the AI model which learns/predicts lane information that is expressed in a plane form, not in a segment form such as a straight line or curved line.

Abstract: An obstacle recognition assistance device includes: a memory configured to store instructions; and a processor configured to execute the instructions to acquire a first recognition result and sensing information. The first recognition result is a result based on a first recognition process performed using the sensing information acquired by an obstacle sensing device. The first recognition result indicates whether or not an obstacle is present. The processor is further configured to execute the instructions to verify whether the first recognition result is incorrect based on the first recognition result and a second recognition result. The second recognition result is a result based on a second recognition process performed using the sensing information. The second recognition process indicates whether or not the obstacle is present. The processor is further configured to execute the instructions to record a verification result.

Abstract: The exemplary embodiments are related to a device, system and method for implementing an audio orientated immersive experience of an event presented at a user device. A server is connected to a user device. The server generates a virtual environment that corresponds to a site of an event. The server receives tracking data corresponding to an object of the event. The tracking data is incorporated into the virtual environment. The server identifies a predetermined condition and selects enhancement data based on the predetermined condition. The predetermined condition corresponds to the tracking data and the virtual environment. The server transmits a data stream to the user device, the data stream including the enhancement data.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate updating, such as averaging and/or training, of one or more statistical sets are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can include a computing component that averages a statistical set, provided by the system, with an additional statistical set, that is compatible with the statistical set, to compute an averaged statistical set, where the additional statistical set is obtained from a selected additional system of a plurality of additional systems. The computer executable components also can include a selecting component that selects the selected additional system according to a randomization pattern.

Abstract: A controlling method for an electronic device comprises: determining a state of a housing and a usage state of the electronic device; projecting a laser in a first mode by a laser projector when the housing is in a folded state and the electronic device is in a first usage state; projecting a laser in a second mode by the laser projector when the housing is in the folded state and the electronic device is in a second usage state; and projecting a laser in a second mode by the laser projector when the housing is in an expanded state.

Abstract: An electronic device includes a device housing, a front-facing imager, one or more sensors, a blade assembly carrying a blade and slidably coupled to the device housing and operable to slidably transition between an extended position where the blade extends beyond an edge of the device housing a retracted position where a major surface of the blade abuts a major surface of the device housing and a peek position in which the blade reveals the front-facing imager. The electronic device includes one or more processors. The one or more processors cause the blade assembly to transition to the peek position in response to a document scanning application operating on the one or more processors invoking an image capture operation and the one or more sensors determining the front-facing imager is oriented toward a document.

Abstract: A medical image processing device includes a first position acquirer, a first converter, a first likelihood image generator, and a learner. The first position acquirer is configured to acquire, as first positions, target positions in plural first images. The first converter is configured to convert the first positions to second positions by expanding movement in a second direction intersecting a first direction based on movement over time of the first positions. The first likelihood image generator is configured to generate a first likelihood image showing a distribution of likelihood of the second positions. The learner is configured to output a model using the plural first images and the first likelihood image as training data, and upon receiving part or all of a transparent image, derives a second likelihood image showing a distribution of likelihood indicating probability of the part or all of the transparent image corresponding to the second positions.

Abstract: Embodiments described herein provide for determining a probability distribution of a three-dimensional point in a template feature map matching a three-dimensional point in space. A dual-domain target structure tracking end-to-end system receives projection data in one dimension or two dimensions and a three-dimensional simulation image. The end-to-end system extracts a template feature map from the simulation image using segmentation. The end-to-end system extracts features from the projection data, transforms the features of the projection data into three-dimensional space, and sequences the three-dimensional space to generate a three-dimensional feature map. The end-to-end system compares the template feature map to the generated three-dimensional feature map, determining an instantaneous probability distribution of the template feature map occurring in the three-dimensional feature map.

Abstract: An online document system provides a recommendation for one or more features within the online document system to an entity. The online document system accesses a set of feature training data to train a machine learning model. The set of feature training data may describe characteristics of entities associated with the online document system and historical activity associated with the entities' usage of the online document system's features. The machine learning model may be configured to identify a feature to recommend to an entity based on the entity's characteristics and history of using other features within the online document system. For example, data representing the entity's user accounts and use of an electronic signature feature is used by the machine learning model to identify a document authentication feature to recommend to the entity. The online document system may then provide the identified feature in a recommendation to the entity.

Abstract: One embodiment of the present invention sets forth a technique for performing a labeling task. The technique includes determining one or more region proposals, wherein each region proposal included in the one or more region proposals includes estimates of one or more bounding boxes surrounding one or more objects in a plurality of video frames. The technique also includes performing one or more operations that execute a refinement stage of a machine learning model to produce one or more refined estimates of the one or more bounding boxes included in the one or more region proposals. The technique further includes outputting the one or more refined estimates as initial representations of the one more bounding boxes for subsequent annotation of the one or more bounding boxes by one or more users.

Abstract: A system for using a mobile phone in a vehicle includes an auxiliary jack having multiple conductors and configured to receive a connector having a first end to be coupled to the auxiliary jack and a second end to be coupled to a mobile device. The system further includes a ground coupled to a first conductor of the multiple conductors, and a microphone coupled to a second conductor of the multiple conductors that receives microphone data from a cabin of the vehicle to be transmitted to the remote device via the connector. The system further includes a first speaker coupled to a third conductor of the multiple conductors that outputs audio data received from the third conductor, and an IVI interface configured to receive user instructions for controlling the mobile device and to transmit the user instructions to the mobile device via at least one of the multiple conductors.

Abstract: Techniques for dynamic contact ingestion are described. A system may interpret a voice command received from a first device based on contact data or other information associated with a second device connected to the first device. For example, when a data connection is made between the first device and the second device, the first device may receive the contact data and send the contact data to a remote system. The remote system may temporarily associate the contact data with the first device, enabling the remote system to interpret a voice command received from the first device using the contact data. The remote system may use the contact data to perform disambiguation, enabling the remote system to initiate outbound calls, announce inbound calls, and/or the like. When the second device is disconnected from the first device, the remote system may remove the association between the contact data and the first device.