Abstract: This technology provides an Autonomous Vehicle (AV) Intelligent Control System (ICS) that integrates a sensing module for collecting driving environment data and an onboard unit (OBU) for vehicle control. The OBU includes a vehicle control module and communication modules for interacting with Traffic Control Centers (TCC/TCU) and Roadside Units (RSUs). These modules exchange information at the control level, such as vehicle positioning, speed, and environmental conditions, enabling the AV to operate safely and efficiently. The system also features redundancy through dual-security mechanisms, enhancing safety and reliability. The AV ICS is designed to distribute driving tasks and functions, utilizing both TCC/TCU and RSU data for vehicle control and monitoring, with wireless communication capabilities for seamless information exchange.

Abstract: The present disclosure relates to a pre-5th-Generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4th-Generation (4G) communication system such as Long Term Evolution (LTE). The present disclosure discloses a method for operating a user equipment (UE), including: determining a type of numerology of physical resources to receive control signals and data from at least two types of multicarrier parameter numerology; and receiving the control signals and the data on the physical resources according to the determined type of numerology. The present disclosure further discloses a corresponding apparatus. By applying the technical solution disclosed in the present disclosure, it is possible to make full use of physical resources that have different characteristics.

Abstract: An eye-gaze tracking apparatus and a method of eye-gaze tracking. The eye-gaze tracking apparatus comprises: a plurality of foreground cameras each arranged to capture at least a portion of a target view area of a user; and an eye-gaze estimation module having at least one eye-gaze camera each arranged to capture an image an eye of the user, so as to estimate a position of a pupil of the eye based on the image of the eye; wherein each of the plurality of foreground cameras includes a field-of-view (FOV) being different from each other.

Abstract: A method that includes collecting, by a computer, social network posts by social network friends of a user containing images. The method further includes identifying, by the computer, images within the social network posts containing the user through facial image recognition based on an image of the user in a user social network profile and determining, by the computer, information from the identified images containing the user within the social network posts for inclusion in the user social network profile. The method may further include updating, by the computer, the profile information of the user social network profile to include the information from the identified images containing the user within the social network posts.

Abstract: The present disclosure provides a high-strength and high-plasticity casting high-entropy alloy (HEA), having a general formula of AlaCobCrcTidFeeNifCug, where 6.0<a?8.0, 18.0<b?23.0, 7.5?c<12.5, 2.0<d?8.5, 15.5<e?20.0, 28.0<f?37.0, 0.2<g?10.0, and a+b+c+d+e+f+g=100. The casting HEA can be prepared in one step and has excellent mechanical properties. The various metal raw materials are environmental-friendly and suitable for large-scale industrial production.

Abstract: Updating a user social network profile of a user based on relevant activities posted by other users in a same social network.

Abstract: A computer system, method, and computer program product comprise clustering data of search results of a topic of interest into a hierarchical knowledge tree format, monitoring computer user behavior regarding the search results, and processing a determined result of the monitored computer user behavior and the clustered data of the search results to generate a knowledge graph based on the topic of interest.

Abstract: The present disclosure provides a high-strength and high-plasticity casting high-entropy alloy (HEA), having a general formula of AlaCobCrcTidFeeNifCug, where 6.0<a?8.0, 18.0<b?23.0, 7.5?c<12.5, 2.0<d?8.5, 15.5<e?20.0, 28.0<f?37.0, 0.2<g?10.0, and a+b+c+d+e+f+g=100. The casting HEA can be prepared in one step and has excellent mechanical properties. The various metal raw materials are environmental-friendly and suitable for large-scale industrial production.

Abstract: A magnetic resonance imaging apparatus according to an embodiment executes a first imaging prior to a second imaging and includes processing circuitry. The processing circuitry receives, on a first image obtained from the first imaging, a setting of a region in which an RF (Radio Frequency) pulse is to be applied to a subject, generates a three-dimensional image based on the first image, determines, based on an imaging purpose of the second imaging, a translucent region to which translucent processing is to be performed in the three-dimensional image, and displays the translucent region, making the translucent region translucent in the three-dimensional image.

Abstract: Updating a user social network profile of a user based on relevant activities posted by other users in a same social network.

Abstract: An image processing method and apparatus, a device, and a storage medium. The image processing method includes: performing preliminary segmentation recognition on a raw image by using a first segmentation model to obtain a candidate foreground image region and a candidate background image region of the raw image; recombining the candidate foreground image region, the candidate background image region, and the raw image to obtain a recombined image, pixels in the recombined image being in a one-to-one correspondence with pixels in the raw image; and performing region segmentation recognition on the recombined image by using a second segmentation model to obtain a target foreground image region and a target background image region of the raw image.

Abstract: Embodiments of this application disclose a video data processing method and apparatus, and a storage medium. After historical and current video frames are acquired from a video stream, two point position sets of a human body are obtained from the historical video frame and the current video frame, respectively. A jitter amplitude of a human body key point in the current video frame is analyzed according to the point position set of the human body in the current video frame and the point position set of the human body in the historical video frame; an adjustment reference position of the human body in the current video frame is determined according to the jitter amplitude; and subsequently a human body part below the adjustment reference position in the current video frame is adjusted and the adjusted current video frame is outputted for display as part of the video stream.

Abstract: Updating a user social network profile of a user based on relevant activities posted by other users in a same social network.

Abstract: In a method for generating a cartoon face image that is performed by a computing device, a to-be-processed face image is obtained. Face feature information is recognized from the to-be-processed face image, and cartoon materials corresponding to feature parts of a face in the to-be-processed face image are obtained according to the face feature information. The obtained cartoon materials are cartoon face materials. The cartoon face materials include cartoon facial feature materials and another cartoon material other than the cartoon facial feature materials. Each of the cartoon facial feature materials are adjusted by using an adjustment parameter, and the other cartoon material are combined with the cartoon facial feature materials after adjustment to generate the cartoon face image.

Abstract: The present application relates to rolled good feeding device and method. Material feeding devices and methods are provided for conveying material from material rolls. The material roll may be adjusted in the longitudinal direction during the feeding process by a rectifying frame to aid in maintaining alignment during the unrolling. Tension of the unrolled material may be monitored and unrolling speeds of the feeding device can be adjusted to maintain tension of the material within a range for that material. Aspects also contemplate elements to feed multiple rolled materials simultaneously for subsequent processing in combination as layered materials.

Abstract: A computing device obtains a to-be-optimized image. The device aligns the to-be-optimized image to obtain a to-be-optimized aligned image. The to-be-optimized aligned image includes a target region having points of objects that are distributed in a standard position. The computing device uses the to-be-optimized aligned image as an inputs to a generation network. The device performs feature extraction on the to-be-optimized aligned image using the generation network, to obtain an optimized image. The generation network is obtained by training a to-be-trained generative adversarial deep neural network model according to a low-quality image pair and a joint loss function. The low-quality image pair includes a target image and a low-quality image corresponding to the target image.

Abstract: Disclosed is a method for training an expression transfer model performed by a computer device, the method including: obtaining a source domain facial image of a first object, a target domain facial image of a second object and a facial feature image associated with the target domain facial image; applying the facial feature image and the source domain facial image to an expression transfer model to obtain a synthesized facial image of the first object; applying the synthesized facial image and the target domain facial image to a discriminative network model obtain two discrimination results; applying the synthesized facial image and the target domain facial image to an image classification model to obtain a category feature vector for identifying a difference between the synthesized facial image and the target domain facial image; and updating the expression transfer model according to the category feature vector and the discrimination results.

Abstract: An image processing method includes: obtaining audio data corresponding to a reality scene image acquired in real time; dynamically determining attribute information of a virtual object according to the audio data, the attribute information indicating a visual state of the virtual object; identifying a target object from the reality scene image; determining, according to the target object, a fusion location of the virtual object determined according to the attribute information in the reality scene image according to the target object; fusing the virtual object determined according to the attribute information into the reality scene image according to the fusion location, the virtual object presenting different visual states that correspond to different attribute information dynamically determined according to the audio data.

Abstract: A computer-implemented method comprising: monitoring, by a computing device, live sensor data received from one or more sensor devices; detecting, by the computing device, abnormal behavior of one or more individuals or objects based on the monitoring the live sensor data; determining, by the computing device, a deficiency of a facility based on the detecting the abnormal behavior; and executing, by the computing device, a computer-based instruction based on the deficiency of the facility.