Abstract: This application discloses a method for determining a channel reception occasion and an apparatus. The method includes: determining a first time domain resource offset value set, where the first time domain resource offset value set includes one or more time domain resource offset values between a physical sidelink feedback channel PSFCH and a physical uplink control channel PUCCH; and determining a PSFCH reception occasion based on the first time domain resource offset value set and a feedback period of the PSFCH.

Abstract: In the field of communications technologies, disclosed are a resource indication method, a resource determining method, and an apparatus, to indicate different resources by using a value of same resource indication information, and can be applied to an internet of vehicles, for example, vehicle-to-everything (V2X), long term evolution-vehicular (LTE-V), and vehicle-to-vehicle (V2V), or in fields such as device-to-device (D2D), intelligent driving, and intelligent connected vehicles. The method includes: determining a first resource in a first slot and a second resource in a second slot, where the first resource and the second resource are used to send data; and sending resource indication information in a third slot, where a value of the resource indication information is used to indicate a frequency domain position of the first resource and a frequency domain position of the second resource, and the second slot and the first slot are later than the third slot.

Abstract: This application provides a method and an apparatus for determining an effective time of a timing advance (TA). The method includes: determining a first subcarrier spacing from M subcarrier spacings, where the M subcarrier spacings are subcarrier spacings of L carriers used by a terminal device, and L?M?2; and determining an effective time of a timing advance (TA) of each of the L carriers based on the first subcarrier spacing.

Abstract: Embodiments of the present disclosure relate to the field of communications technologies, and provide an uplink control channel resource configuration method and an apparatus, to improve utilization of a frequency domain resource of an uplink channel. The method includes: determining, by a base station, resource configuration information, and sending, by the base station, the resource configuration information to UE, where the resource configuration information includes a first hop resource of a first uplink control channel (PUCCH), a frequency domain resource offset of the first PUCCH, and/or a bandwidth of a bandwidth part (BWP) used by the user equipment UE, and the first PUCCH is a PUCCH of the UE.

Abstract: An uplink channel sending method includes sending, by a terminal device, a first uplink channel to a network device at a first power in a first time unit of a first Bandwidth Part (BWP) region, and sending, by the terminal device, the first uplink channel to the network device at a second power in a second time unit of a second BWP region. The second time unit is adjacent to the first time unit, the second BWP region is different from the first BWP region, and the second power is determined using a reset accumulated closed-loop power, an absolute closed-loop power, or the first power and an offset value.

Abstract: A noise reduction method of a ventilator, comprising the following steps: S1 starting a ventilator and imputing a required wind pressure d at a man-machine interface, and then sending a signal to an actuator through a processor, and adjusting a first blade automatically to a maximum adjustable angle state a?° through the actuator and a second blade to a minimum adjustable angle state b°; S2 regulating a revolution speed, when a wind pressure is d, feeding back a revolution speed c, a conducting noise e1 and a radiated noise f1 to the processor through an acquisition device, and after the processor receives a revolution speed information, sending a command to lock the revolution speed to the actuator through the processor. The present disclosure can effectively solve the poor noise reduction function of the present noise reduction hoop, and can effectively reduce the cost and simplify the installation process.

Abstract: A three-dimensional object detection method includes: extracting a target in a two-dimensional image by a pre-trained deep convolutional neural network to obtain a plurality of target objects; determining a point cloud frustum in a corresponding three-dimensional point cloud space based on each target object; segmenting the point cloud in the frustum based on a point cloud segmentation network to obtain a point cloud of interest; and estimating parameters of a 3D box in the point cloud of interest based on a network with the weighted channel features to obtain the parameters of the 3D box for three-dimensional object detection. According to the present invention, the features of the image can be learned more accurately by the deep convolutional neural network and the parameters of the 3D box in the point cloud of interest are estimated based on the network with the weighted channel features.

Abstract: This application provides example methods for establishing a service path in a transport network and example systems. One example method includes, obtaining, by an automatically switched optical network (ASON) first node, a service path computation result path. The service path includes the ASON first node, an ASON last node, and at least one first edge network node. The method also includes sending, by the ASON first node, a path establishment request message to a downstream node. The path establishment request message carries cross-connection configuration information of the ASON last node and the at least one first edge network node. The method further includes receiving, by the ASON first node, a path establishment response message of the downstream node. The path establishment response message indicates that cross-connection configuration for the ASON last node and the at least one first edge network node is complete.

Abstract: In some implementations, a user device may present, on a user interface, an arc-shaped user interface element. The user device may detect a user interaction that indicates a first point on the arc-shaped user interface element. The user device may present, on the user interface, a first arc portion of the arc. The first arc portion may represent a first amount, of a total amount, to be associated with a first user account. A second arc portion may represent a second amount, of the total amount, associated with the second user account. The user device may transmit, to an account management device, information that identifies the first amount, of the total amount, to be associated with the first user account.

Abstract: Embodiments provide a computer implemented method of evaluating one or more IR systems, the method including: providing, by a processor, a pre-indexed knowledge-based document to a pre-trained sentence identification model; identifying, by the sentence identification model, a predetermined number of query-worthy sentences from the pre-indexed knowledge-based document, wherein the query-worthy sentences are ranked based on a prediction probability value of each query-worthy sentence; providing, by the sentence identification model, the query-worthy sentences to a pre-trained query generation model; generating, by the query generation model, a query for each query-worthy sentence; and evaluating, by the processor, the one or more IR systems using the generated queries, wherein one or more searches are performed via the one or more IR systems, and the one or more searches are performed in a set of knowledge-based documents including the pre-indexed knowledge-based document.

Abstract: The present invention discloses a non-hysteretic oxygen supply respirator system, comprising a respiratory mask, an inhaling pipe, an exhaling pipe, an oxygen supply chamber, an auxiliary oxygen supply pipeline, and a start-stop cylinder for opening and closing the auxiliary oxygen supply pipeline. The non-hysteretic oxygen supply respirator system in the present invention supplies a small amount of oxygen during the second half of exhaling by providing the auxiliary oxygen supply pipeline, so as to compensate for the amount of oxygen required by a user during the hysteretic time after the respirator senses the inhaling airflow, avoid the situation that the user inhales laboriously due to the hysteresis of inhaling oxygen supply, and give the user a better respiratory experience. The start and stop of the auxiliary oxygen supply pipeline are controlled by the airflow of the exhaling pipe, making the control simple and convenient and the exhaling smoother.

Abstract: Methods, systems, and computer program products for automatically generating datasets by processing collaboration forums using artificial intelligence techniques are provided herein.

Abstract: An epitaxial structure and a semiconductor device are provided in which the epitaxial structure includes at least a SiC substrate, a nucleation layer, and a GaN layer. The nucleation layer is formed on the SiC substrate. The material of the nucleation layer is aluminum gallium nitride doped with a dopant, the Al content in the nucleation layer changes from high to low in the thickness direction, the lattice constant of the nucleation layer is between 3.08 ? and 3.21 ?, and the doping concentration of the nucleation layer changes from high to low in the thickness direction. The GaN layer is formed on the nucleation layer.

Abstract: The present invention provides a comprehensive detection device and method for a cancerous region, and belongs to the technical field of deep learning. In the present invention, a cancerous region detection network is trained for preprocessed and annotated CT image data to predict bounding box coordinates of a cancerous region and a corresponding cancer confidence score; a clinical analysis network is trained for preprocessed clinical data with a cancer risk level to predict a cancer probability value of a corresponding patient; and a predicted cancer probability value is weighted to a predicted cancer confidence score to realize a comprehensive determination of the cancerous region. The present invention can detect a cancerous region with high accuracy and high performance.

Abstract: A method and an apparatus for determining an RBG size are provided. In the method, a network device or a terminal determines an RBG size set, where the RBG size set may include one or more possible RBG sizes; and determines a first RBG size included in the RBG size set. The network device allocates a resource to the terminal by using the determined first RBG size. The terminal determines, based on the determined first RBG size, the resource allocated by the network device to the terminal.

Abstract: A package structure includes: a substrate; a chip arranged on a part of a surface of the substrate; a metal thermal conducting layer arranged on a top surface of the chip; a capacitive structure arranged on another part of the surface of the substrate and arranged to be independent from the chip; and a cover including a first cover layer and a second cover layer connected to the first cover layer. A first opening is defined to extend through the first and the second cover layers. The second cover layer is arranged on a bottom of the first cover layer and perpendicular to the first cover layer. The first cover layer is arranged on the capacitive structure. The chip is received in the first opening. The second cover layer is arranged between the capacitive structure and the chip, and is fixed to the substrate.

Abstract: One embodiment provides a method that includes receiving adjusted labeled data based on emotional tone factors. Words are analyzed using a tone latent Dirichlet allocation (T-LDA) model that models tone intensity using the emotional tone factors and integrating the adjusted labeled data. Representative words are provided for each emotional tone factor based on using the T-LDA model. The representative words are obtained using the T-LDA model based on determining posterior probabilities and adjusting the posterior probabilities based on an auxiliary topic.

Abstract: A method, system, and a computer program product automatically select training data for updating a model by applying human-annotated training data to a model to generate results that are evaluated to identify correct case results and false case results that are categorized into error type categories for use in building error models corresponding to the error type categories, where each error model is built from at least failed case results belonging to a corresponding error type, and where unlabeled data samples are applied to each error model to compute an error likelihood for each unlabeled data sample with respect to each error type category, thereby enabling the selection and display of unlabeled data samples for annotation by a subject matter expert based on a computed error likelihood for the one or more unlabeled data samples in a specified error type category meeting or exceeding an error threshold requirement.

Abstract: Example information transmission methods and apparatus are described. One example method includes receiving higher layer signaling and downlink control information. A time-frequency resource corresponding to scheduling request (SR) information and a time-frequency resource corresponding to hybrid automatic repeat request (HARQ) information are respectively determined based on the higher layer signaling and the downlink control information; The SR information is sent by using a first time-frequency resource, and the HARQ information is sent by using a second time-frequency resource. The first time-frequency resource is a part of the time-frequency resource corresponding to the SR information and does not overlap the second time-frequency resource in time domain, and the second time-frequency resource is the time-frequency resource corresponding to the HARQ information.

Abstract: A resource scheduling method, to improve resource utilization of a field-programmable gate array (FPGA) device, includes receiving a resource scheduling request from a host, where the resource scheduling request requests to schedule a partial region (PR) on the FPGA device to serve a first virtual device (VD) of the host, the FPGA device includes N PRs, the host includes M VDs, each of the M VDs is configured corresponding to one virtual machine (VM), the first VD is one of the M VDs, and both N and M are integers greater than one, obtaining context content of the first VD based on the resource scheduling request, determining a target PR in the N PRs, and deploying the context content of the first VD in the target PR.