Abstract: An intrusion detection method includes steps of obtaining a current detection box and a historical detection box of a target in an input image; determining whether the current detection box has an intersection with a security line or a security area; determining that the target has an intrusion behavior if the current detection box has the intersection with the security line or the security area; and determining a direction of intrusion of the target according to the current detection box and the historical detection box.

Abstract: A method for correcting dimensional distortion when viewing a display at an angle is disclosed. In one embodiment, such a method identifies a line of sight of a user relative to a display. The method determines an angle of the line of sight relative to the display and a displacement of the user relative to the display. Using the angle and the displacement, the method determines an adjustment needed to reduce dimensional distortion of content on the display caused by the angle and the displacement. The method applies the adjustment to the content. In certain embodiments, applying the adjustment includes one or more of altering a size of the content on the display, altering proportions of the content on the display, and altering an orientation of the content on the display. A corresponding system and computer program product are also disclosed.

Abstract: In one embodiment, a method includes capturing images of a first user wearing a VR display device in a real-world environment. The method includes receiving a VR rendering of a VR environment. The VR rendering is from the perspective of the mobile computing device with respect to the VR display device. The method includes generating a first MR rendering of the first user in the VR environment. The first MR rendering of the first user is based on a compositing of the images of the first user and the VR rendering. The method includes receiving an indication of a user interaction with one or more elements of the VR environment in the first MR rendering. The method includes generating, in real-time responsive to the indication of the user interaction with the one or more elements, a second MR rendering of the first user in the VR environment. The one or more elements are modified according to the interaction.

Abstract: Provided is a method for training a tone conversion model. The method includes: acquiring a sample set; acquiring a first tone feature of any piece of the sample audio data sample audio data by a tone extraction network in an original tone conversion model; acquiring a first semantic feature based on the first tone feature and a linear spectrum corresponding to the sample audio data by a tone removal network in the original tone conversion model; and acquiring synthesized audio data based on the first semantic feature and a second tone feature of the target audio data corresponding to the sample audio data by a vocoder in the original tone conversion model; and acquiring a trained tone conversion model by training the original tone conversion model based on the target audio data and synthesized audio data corresponding to each piece of the sample audio data.

Abstract: A method for selecting an application and associated operational guidance to utilize on a mobile device is disclosed. In one embodiment, such a method identifies a selected environment of interest. Within the selected environment, the method identifies one or more applications that are commonly utilized by users within the selected environment and documents the one or more applications. The method detects physical entry of a particular user into the selected environment and, in response to detecting the entry, automatically notifies the particular user of the one or more applications that are commonly utilized within the selected environment. In certain embodiments, the method enables the user to quickly launch the one or more applications and/or provides operational guidance to the user with regard to using the one or more applications. A corresponding system and computer program product are also disclosed.

Abstract: Disability-related information of a user of a computing device can be acquired, the computing device can present a scene with user interface elements to the user. An accessibility requirement of the user can be identified based on the acquired disability-related information of the user. A processing routine can be determined from a plurality of processing routines stored in a routine library based on the accessibility requirement of the user. One or more of the user interface elements of the scene can be modified using the determined processing routine. The scene with the modified one or more of the user interface elements can be presented to the user through the computing device.

Abstract: Disclosed are methods and systems for phase-stabilized complex decorrelation (PSCD) optical coherence tomography (OCT) angiography (OCTA). In embodiments, a PSCD OCT A method includes performing phase stabilization on a complex-valued OCT data set to generate a phase-stabilized OCT dataset. The method further includes performing a complex decorrelation on the phase-stabilized OCT dataset to generate an OCTA dataset. One or more OCTA images may be generated based on the OCTA dataset. Other embodiments may be described and claimed.

Abstract: A full-range imaging method doubles imaging range of conventional techniques by removing mirror images of an imaged object that limit conventional images to a “half-range” and that are caused in part by the loss of phase information in a detected signal. Phase information of the detected signal is reconstructed with an averaging technique based on a modulated phase induced in the detected signal during scanning.

Abstract: A locomotive wireless multi-heading remote distributed power traction operation control system. A set of differential multi-heading control unit (8) is added to a train control and management system of an original locomotive, and is combined and fused with a train control and management system (21), a brake control unit (24), a train safety monitoring device (20), a locomotive logic control unit (23), and a locomotive third-party device (25) to implement wireless multi-heading distributed power traction control operation of locomotives in a heavy haul combined train, and adapt to train multi-heading traction control operation of differential locomotives of a heavy haul combined train or multi-heading operation of different railway locomotives. Also provided is a multi-heading locomotive.

Abstract: The present application provides a positive current collector plate. The positive current collector plate is located between positive tabs and a positive cover plate; the positive current collector plate includes a plate body and an electrical connection part; the electrical connection part extends and protrudes from the plate body toward the positive cover plate and protrudes; the plate body is in contact with the positive tabs; the electrical connection part is in contact with the positive cover plate. The present application also provides a cylindrical battery.

Abstract: Provided is a tab plate, including a coating area and an empty foil area located on one side of the coating area. A boundary line is formed at the connection position between the empty foil area and the coating area, the empty foil area is cut to form a plurality of tabs of quadrangular structures, and the four sides of each tab include a first side, a second side and a third side; the third side is located in the empty foil area and is close to the boundary line; and the first side is arranged opposite to the second side, both the first side and the second side intersect with the third side, and an included angle a is formed between the first side and the third side, with the included angle a being an acute angle. Further provided in the present application is a wound battery.

Abstract: A sitting posture detection method includes: identifying an input image to generate a face frame under detection and a human frame under detection of a person under detection; calculating a plurality of face angles of the face frame under detection; calculating a plurality of bone feature point coordinates of the human frame under detection; and generating standard sitting posture data according to the face angles and the bone feature point coordinates, and determining a sitting posture of the person under detection according to the face angles, the bone feature point coordinates and the standard sitting posture data.

Abstract: A full-range imaging method doubles imaging range of conventional techniques by removing mirror images of an imaged object that limit conventional images to a “half-range” and that are caused in part by the loss of phase information in a detected signal. Phase information of the detected signal is reconstructed with an averaging technique based on a modulated phase induced in the detected signal during scanning.

Abstract: Disclosed are methods and systems correcting bulk-motion artifacts in phase-based functional OCT images. The disclosed methods and systems are based on the use of the standard deviation of the phase shift signal present in phase-based OCT imaging. When applied with functional OCT techniques such as OCT angiography, Doppler OCT, and OCT elastography, the disclosed methods provide improved image quality and decreased computational cost compared to other methods of bulk motion compensation.

Abstract: Disclosed herein are methods and systems for optical coherence tomography (OCT) angiography (OCTA). An interleaved scanning pattern is described herein for both raster and bidirectional scanning methods. The interleaved scanning pattern provides B-scans with different scanning intervals. OCTA images based on the B-scans may be combined to obtain a high dynamic range (HDR) OCTA image. Other embodiments may be described and claimed.

Abstract: A method for selecting an application and associated operational guidance to utilize on a mobile device is disclosed. In one embodiment, such a method identifies a selected environment of interest. Within the selected environment, the method identifies one or more applications that are commonly utilized by users within the selected environment and documents the one or more applications. The method detects physical entry of a particular user into the selected environment and, in response to detecting the entry, automatically notifies the particular user of the one or more applications that are commonly utilized within the selected environment. In certain embodiments, the method enables the user to quickly launch the one or more applications and/or provides operational guidance to the user with regard to using the one or more applications. A corresponding system and computer program product are also disclosed.

Abstract: A bendable cutting apparatus for myocardium and a system with the same are provided. The cutting apparatus includes a cutting portion, a bendable portion, and a driving portion. The bendable portion is connected between the cutting portion and the bendable portion. the cutting portion is driven by the driving portion to cut down a target, and the bendable portion is configured to bend in response to being tensioned and loosen by the driving portion.

Abstract: A full-range imaging method doubles imaging range of conventional techniques by removing mirror images of an imaged object that limit conventional images to a “half-range” and that are caused in part by the loss of phase information in a detected signal. Phase information of the detected signal is reconstructed with an averaging technique based on a modulated phase induced in the detected signal during scanning.

Abstract: A computer-implemented method for generating personalized audio data is disclosed. The computer-implemented method includes receiving user input data, wherein the user input data is at least one of text or audio. The computer-implemented method further includes segmenting the user input data into a set of sentences. The computer-implemented method further includes generating, for each sentence in the set of sentences, a voice image, wherein the voice image includes at least one pronunciation tag and wave line associated with a sentence. The computer-implemented method further includes modifying the user input data based, at least in part on, the wave line and pronunciation tag of the voice image.

Abstract: In one embodiment, a method includes receiving a rendered image, motion vector data, and a depth map corresponding to a current frame of a video stream generated by an application, calculating a current three-dimensional position corresponding to the current frame of an object presented in the rendered image using the depth map, calculating a past three-dimensional position of the object corresponding to a past frame using the motion vector data and the depth map, estimating a future three-dimensional position of the object corresponding to a future frame based on the past three-dimensional position and the current three-dimensional position of the object, and generating an extrapolated image corresponding to the future frame by reprojecting the object presented in the rendered image to a future viewpoint associated with the future frame using the future three-dimensional position of the object.