Abstract: A carrier frequency tracking method, a signal transmission method, and a related apparatus. The carrier frequency tracking method includes: a terminal device receives a first tracking reference signal from a first transmission reception apparatus of a single frequency network cell; the terminal device receives a second tracking reference signal from a second transmission reception apparatus of the single frequency network cell, where the first tracking reference signal and the second tracking reference signal occupy different time-frequency resources; and the terminal device performs carrier frequency tracking based on at least one of the first tracking reference signal and the second tracking reference signal.

Abstract: A carbon fiber is obtained by sequentially performing: a step (I) of dissolving a fullerene mixture including fullerenes C60 and C70 in an organic solvent to prepare a fullerene solution; a step (II) of immersing a material carbon fiber in the fullerene solution; and a step (III) of extracting the carbon fiber from the fullerene solution and drying the extracted carbon fiber.

Abstract: A method for primary-backup server switching. A control server monitors whether a primary server fails. The control server is in communication connection with the primary server and a backup server. The primary server is provided with a primary memory database. The primary memory database is configured to save in real time state information of the primary server each time after an operation is executed, and the state information is read and saved in real time by a backup memory database in a backup server. In response to a failure of the primary server, the control server sends a primary-backup switching command to the backup server. The primary-backup switching command is configured to instruct the backup server to upgrade itself to become a new primary server according to the state information saved in the backup memory database.

Abstract: The present disclosure provides a computer-implemented method. The method includes: acquiring 3D volumetric data for representing a real-world scene; acquiring a current set of active 3D volumetric data from the 3D volumetric data in response to an activating action on the 3D volumetric data; updating a plurality of sets of active 3D volumetric data based on the current set of active 3D volumetric data, the plurality of sets of active 3D volumetric data being acquired from the 3D volumetric data; constructing a surface based on the plurality of updated sets of active 3D volumetric data; and simulating a deformation of a part of the real-world scene based on the surface, the part of the real-world scene corresponding to the plurality of updated sets of active 3D volumetric data. In addition, the present disclosure also provides an electronic device, and a storage medium.

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: A light-emitting device and a display panel. The light-emitting device includes an electron transport layer, an energy level matching layer, and a light-emitting layer that are stacked. A first difference exists between an average activation energy of the electron transport layer and an average activation energy of the energy level matching layer; a second difference exists between the average activation energy of the energy level matching layer and an average activation energy of a host material of the light-emitting layer; an absolute value of the first difference is less than an absolute value of the second difference.

Abstract: A light-emitting device and a display panel. The light-emitting device includes a hole transport layer, an energy level adjustment layer, and a light-emitting layer stacked on each other. A first difference exists between an average activation energy of the hole transport layer and an average activation energy of the energy level adjustment layer, a second difference exists between the average activation energy of the energy level adjustment layer and an average activation energy of host material in the light-emitting layer, and an absolute value of the first difference and an absolute value of the second difference are greater than 0 eV.

Abstract: A video processing method, a video processing device, and a storage medium are provided. The video processing method includes: determining target image frames corresponding to a dynamic special effect in a video and determining an attribute of a special effect element corresponding to the dynamic special effect in each of the target image frames and coordinates of the special effect element. The video processing method also includes: rendering the special effect element on a drawing interface based on the attribute and the coordinates of the special effect element; filling the target image frames into the drawing interface as a background and forming drawing interface frames with the dynamic special effect; and outputting the drawing interface frames corresponding to each of the target image frames.

Abstract: A method for producing a lubricating oil composition includes: a step of mixing a base oil and fullerene, dissolving a soluble component of the fullerene in the base oil, and obtaining a mixture of the base oil and fullerene; a step of removing an insoluble component included in the mixture and obtaining a fullerene solution; and a step of heat-treating the fullerene solution.

Abstract: A method at a computing device, the method including obtaining sensor data for a vehicle providing vibration frequency and magnitude; calculating an energy for each of a low frequency passband and a high frequency passband of a bandpass filter pair; finding an energy ratio based on the energy for the low frequency passband and the energy for the high frequency passband; applying weighting constants to each of the energy for the low frequency passband, the energy for the high frequency passband and the energy ratio to calculate a decision variable; and finding that the vehicle is unloaded if the decision variable is below a threshold and finding that the vehicle is loaded if the decision variable is above a threshold.

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: The disclosure discloses an algebraic decoding method and a decoder for a (n, n(n?1), n?1) permutation group code in a communication modulation system. The basic principle of the decoding method is: assuming that two code elements p(r1)=s1 and p(r2)=s2 can be correctly detected in a received real vector with a length of n, including their element values s1, s2 and position indices r1, r2 in the vector, an intermediate parameter w is determined by solving an equation (r1?r2)w=(s1?s2)(mod n); and each code element is calculated by w according to p(i)=(s1+(n?r1+i)w)(mod n), i=1, 2, . . . , n. The decoder is mainly composed of multiple n-dimensional registers, a w calculator, n code element calculators, and a code element buffer. In the disclosure, in a case where a receiver only correctly detects two code elements in a transmitted codeword with a length of n, the codeword can be correctly decoded by using the received information of the two code elements.

Abstract: A computer-implemented training method for a convolutional neural network includes receiving first data and second data. The second data is data obtained after stylization is performed on the first data. The method further includes training the convolutional neural network based on the first data and the second data. The convolutional neural network has a first normalization layer and a second normalization layer. The first normalization layer is used for the first data, and the second normalization layer is used for the second data. The convolutional neural network trained in this way is no longer biased towards texture, and not only enhances robustness but also improves accuracy.

Abstract: In an approach for identifying disease progression hazard ratios for given disease against diseases from an EHR database to determine top comorbidities to the given disease, a processor receives raw EHR data. A processor identifies, from the raw EHR data, a set of diseases and associated diagnosis information for each disease of the set of diseases. A processor calculates a hazard ratio for each disease pair of a set of disease pairs producing a set of hazard ratios, wherein the set of disease pairs comprises a given disease paired with each disease of the set of diseases. A processor ranks the set of hazard ratios for the given disease. A processor selects a pre-defined number of top comorbidities of the set of hazard ratios for the given disease based on the ranking. A processor outputs the pre-defined number of top comorbidities for the given disease.

Abstract: A method at a computing device, the method including obtaining sensor data for a vehicle providing vibration frequency and magnitude; calculating an energy for each of a low frequency passband and a high frequency passband of a bandpass filter pair; finding an energy ratio based on the energy for the low frequency passband and the energy for the high frequency passband; applying weighting constants to each of the energy for the low frequency passband, the energy for the high frequency passband and the energy ratio to calculate a decision variable; and finding that the vehicle is unloaded if the decision variable is below a threshold and finding that the vehicle is loaded if the decision variable is above a threshold.

Abstract: Various embodiments of predicting human actions are disclosed. In one aspect, a human action prediction system first receives a sequence of video images including at least a first person. Next, for each image in the sequence of video image, the human action prediction system detects the first person in the video image; and subsequently extracts a skeleton figure of the detected first person from the detected image of the first person, wherein the skeleton figure is composed of a set of human keypoints of the detected first person. Next, human action prediction system combines a sequence of extracted skeleton figures of the detected first person from the sequence of video images to form a first skeleton sequence of the detected first person which depicts a continuous motion of the detected first person.

Abstract: A method for pairing a first computing device with a second computing device, the method including: detecting motion at the first computing device; determining, at the first computing device, that a pattern of the detected motion corresponds with a saved motion pattern; and activating a communications subsystem on the first computing device based on the determining to begin a pairing process.

Abstract: Embodiments described herein provide various examples of real-time visual object tracking. In another aspect, a process for performing a local re-identification of a target object which was earlier detected in a video but later lost when tracking the target object is disclosed. This process begins by receiving a current video frame of the video and a predicted location of the target object. The process then places a current search window in the current video frame centered on or in the vicinity of the predicted location of the target object. Next, the process extracts a feature map from an image patch within the current search window. The process further retrieves a set of stored feature maps computed at a set of previously-determined locations of the target object from a set of previously-processed video frames in the video. The process next computes a set of correlation maps between the feature map and each of the set of stored feature maps.

Abstract: A method and system for determining the weight of a load when the load is placed on a chassis supported by a spring suspension. The method comprises measuring a first distance to a position fixed relative the ground by at least one sensor mounted on the chassis; detecting a displacement of the chassis relative to the position based on the first distance and a second distance measured to the position by the at least one sensor; determining the weight of the load on the basis of the chassis displacement; and communicating the determined weight of the load.

Abstract: Embodiments of the present disclosure relate to facilitating decision marking in a business process. In an embodiment, process execution data associated with execution of at least one instance of a business process are obtained. At least one first target attribute available at a first target point is determined based on the process execution data. The first target point is subsequent to a first decision point of a plurality of decision points in the business process, the at least one first target attribute has a contribution in deriving a first expected outcome at the first decision point, and the first target point is a first activity point or a first decision point. A suggestion is provided which suggests incorporating the at least one first target attribute in decision making at the first decision point executed in a further instance of the business process.