Abstract: An information determining method includes: acquiring a feature vector of a target multimedia resource and feature vectors of multiple candidate multimedia resources; selecting, from the multiple candidate multimedia resources, a reference multimedia resource whose feature vector corresponds to the feature vector of the target multimedia resource; and selecting information corresponding to the target multimedia resource from multiple pieces of information about the reference multimedia resource according to the multiple pieces of information, and determining the selected information as information about the target multimedia resource.

Abstract: A memory system includes a memory device including a memory cell array, a first latch, a plurality of program latches, and a second latch and a memory controller configured to provide a command to the memory device. The memory device may sense first data from a first region of the memory cell array, store the sensed first data in the first latch, transfer the sensed first data to the second latch, output the first data from the second latch to the memory controller, and transfer the first data from the second latch to a first program latch of the plurality of program latches, in response to a first read command.

Abstract: A method is provided for authenticating an occupant within an interior of a vehicle. The vehicle includes a camera which is configured to monitor the interior of the vehicle, and a processing device being configured to process image or video data provided by the camera. Characteristic features are determined being visible via the camera, and authenticating image or video data are captured via the camera while an occupant is present within the interior of the vehicle. Via the processing device, face recognition and liveliness check are performed for the occupant based on the authenticating image or video data, and an identification degree of the characteristic features is determined within the authenticating image or video data. Based on the face recognition, the liveliness check and the identification degree it is determined whether an authentication of the occupant is to be accepted.

Abstract: The technology disclosed herein involves using a machine learning model (e.g., CNN) to expand lower dynamic-range image content (e.g., SDR images) into higher dynamic-range image content (e.g., HDR images). The machine learning model can take as input the lower dynamic-range image and can output multiple expansion maps that are used to make the expanded image appear more natural. The expansion maps may be used by image operators to smooth color banding and to dim overexposed regions or user interface elements in the expanded image. The expanded content (e.g., HDR image content) may then be provided to one or more devices for display or storage.

Abstract: A data storage chassis includes a plurality of data storage cartridges, and printed circuit board assembly (PCBA) electronics selectively connectable to one or more of the plurality of data storage cartridges. The data storage chassis also includes a wireless interface controller communicatively coupled to the PCBA electronics. The wireless interface controller facilitates wireless communication of data between the data storage chassis and a host using at least one frequency in a range of frequencies including fifth-generation (5G), millimeter, and sub-millimeter frequency ranges.

Abstract: A vehicle analytics (VA) computing device may be configured to: (i) receive, from the connected vehicle, telematics data corresponding to the connected vehicle; (ii) identify a plurality of trips of the vehicle based upon the telematics data; (iii) store the telematics data corresponding to each trip of the plurality of trips in a database in association with a trip identifier corresponding to the trip; (iv) determine, for each of the plurality of trips, a number of passengers present in the vehicle; (v) store the determined number of passengers in the database in association with the trip identifier corresponding to the trip; and (vi) calculate an insurance premium associated with an insurance policy based upon the determined number of passengers in the vehicle.

Abstract: The present disclosure relates to a method and apparatus for predicting application service response time in a communication system. Particularly, the present disclosure relates to a method, apparatus and system for predicting response time required to provide an application service to a user in response to the user's request of the application service in a server of a communication system. A method for predicting application service response time according to an embodiment of the present disclosure includes: data collection for collecting network data associated with a user application service, in response to a request for the application service by a user device; and data analysis for performing, by utilizing the collected data, a response time predictive analysis, in order to predict a user's application service response time. The data analysis selects an optimal prediction model by initially applying a response time prediction model and testing the initial prediction model that is applied.

Abstract: In described examples, ownership of a network protocol-based session is distributed across multiple entities. A session is established between a remote entity and a first processing node on a local device, such that the first processing node is the session owner of the session on the local device. During the session, ownership of the session is transferred from the first processing node to a second processing node on the local device, such that the second processing node becomes the session owner of the session on the local device. The session is then operated between the remote entity and the second processing node as the session owner.

Abstract: A light source unit includes a first light source configured to emit light in a first wavelength range, a second light source configured to emit light in a first wavelength range, a first dichroic mirror configured to reflect the light in the second wavelength range incident thereon at a first incident angle and transmit the light in the second wavelength range incident thereon at a second incident angle, which is different from the first incident angle, and a second dichroic mirror configured to reflect the light in the second wavelength range that has passed through the first dichroic mirror, wherein after having been reflected by the second dichroic mirror, the light in the second wavelength range is incident on the first dichroic mirror at the first incident angle to then be reflected by the first dichroic mirror.

Abstract: Hairstyle transfer is challenging due to hair structure differences in the source and target hair. Latent Optimization of Hairstyles via Orthogonalization (LOHO) is an optimization-based approach using GAN inversion to infill missing hair structure details in latent space during hairstyle transfer. Hair is decomposed into three attributes: perceptual structure, appearance, and finer style, and includes tailored losses to model each of these attributes independently. Two-stage optimization and gradient orthogonalization enable disentangled latent space optimization of the three hair attributes. Using LOHO for latent space manipulation, users can synthesize novel photorealistic images by manipulating hair attributes either individually or jointly, transferring the desired attributes from reference hairstyles.

Abstract: An optical imaging lens includes a first, a second, a third, a fourth, a fifth, a sixth, a seventh and an eighth lens elements from an object side to an image side in order along an optical axis. The optical imaging lens satisfies: EFL/(G45+T5)?8.500, wherein EFL is an effective focal length of the optical imaging lens, G45 is an air gap from the fourth lens element to the fifth lens element along the optical axis, and T5 is a thickness of the fifth lens element along the optical axis.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for adding time-based captions to captured video. The program and method provide for displaying, by a messaging application, a preview user interface for previewing and editing captured video in order to generate a media content item, the preview user interface including an interface element which is selectable to switch to a captions user interface for adding a caption to the media content item; switching, in response to first user input selecting the interface element, to the captions user interface which is configured to receive user input for caption content and a duration to display the caption content; receiving, via the captions user interface, second user input for the caption content and the duration; and generating the media content item based on the caption content and the duration to display the caption content.

Abstract: An optical imaging system is described including first to sixth lenses sequentially disposed from an object side to an image side, and an image sensor configured to convert incident light reflected from a subject, having passed through the first to sixth lenses, into an electrical signal. One of the first to sixth lenses includes a spherical object-side surface and another of the first to sixth lenses includes corresponding aspherical object-side surfaces. The first to sixth lenses include corresponding aspherical image-side surfaces, and a lens of the first to sixth lenses that is closer to the object side than the one of the first to sixth lenses including the spherical object-side surface, has a highest refractive index among the first to sixth lenses.

Abstract: A display apparatus includes a plurality of display panels, a current sensor, a driving controller and a data driver. The current sensor is configured to sense a current of each of the display panels. The driving controller is configured to generate a compensation value of each of the display panels based on the current of each of the display panels and to generate a data signal of each of the display panels based on the compensation value. The data driver is configured to convert the data signal into a data voltage and to output the data voltage to each of the display panels.

Abstract: An apparatus and method provide a skill factor hierarchy to a user. Apparatus may include a computing device including a processor and a memory connected to the processor. The processor may receive a commitment datum describing user activity to match a target and identify a novelty datum as a function of the commitment datum. The processor may identify a first skill factor datum as a function of the novelty datum. Refining the first skill factor datum may include classifying the novelty datum to the first skill factor datum and aggregating the first skill factor datum with a second skill factor datum based on the classification. The processor may generate an interface query data structure including an input field based on aggregations of the skill factor datum and configure a remote display device to at least display the first skill factor and at least the second skill factor datum hierarchically.

Abstract: The present disclosure relates to a bypass switch used in a super-high voltage direct current transmission sub-module including a case; a first bus bar; a second bus bar; a fixing contact provided in a hollow part and connected to the first bus bar; a movable contact provided in the hollow part, and connected to the second bus bar so as to come into contact with or be separated from the fixing contact; an insulating cover coupled to the rear surface of the second bus bar, and having an accommodation part therein; a movable part extension rod provided on the accommodation part and coupled to the movable contact; and an actuator provided on the rear part of the insulating cover, and providing power for moving the movable part extension rod.

Abstract: An optical imaging lens including a first to a seventh lens elements arranged in sequence from an object side to an image side along an optical axis is provided. Each lens element includes an object-side surface and an image-side surface. An optical axis region of the image-side surface of the first lens element is concave. An optical axis region of the object-side surface of the third lens element is concave. The fourth lens element has positive refracting power and an optical axis region of the image-side surface of the fourth lens element is concave. An optical axis region of the image-side surface of the fifth lens element is concave. Furthermore, other optical imaging lenses are also provided.

Abstract: A display apparatus and a display panel are provided in the present disclosure. The display apparatus includes a plurality of display panels. A display panel of the plurality of display panels includes a display region and a binding region; the display region includes a first side and a second side which are opposite to each other; the binding region is on the first side; the plurality of display panels includes a first display panel and a second display panel; and a second side of the first display panel is spliced with a second side of the second display panel, where the plurality of display panels includes redundant electrodes.

Abstract: An interface display method of an application is provided. The interface display method of an application may include: displaying a first user interface of the application; and in response to detecting a startup operation for a second user interface of the application, controlling states of components used to display the first user interface and the second user interface as a visible state, so that the first user interface and the second user interface are simultaneously displayed on a display panel, and the second user interface is a sub-interface of the first user interface.

Abstract: A computing system may include a model training engine configured to train a supervised learning model with a training set comprising training probability distributions computed for training dies through a local phase of a volume diagnosis procedure. The computing system may also include a volume diagnosis adjustment engine configured to access a diagnosis report for a given circuit die that has failed scan testing and compute, through the local phase of the volume diagnosis procedure, a probability distribution for the given circuit die from the diagnosis report. The volume diagnosis adjustment engine may also adjust the probability distribution into an adjusted probability distribution using the supervised learning model and provide the adjusted probability distribution for the given circuit die as an input to a global phase of the volume diagnosis procedure to determine a global root cause distribution for multiple circuit dies that have failed the scan testing.