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 method and handheld device for remotely interacting with a second device. The method and apparatus identify the second device from a plurality of devices based on the gestures of the user. As the user gestures, movement sensors sensing the motion of these gestures can generate signals that can be processed by rule-based and/or learning based methods. The result of processing these signals can be used to identify the second device. In order to improve performance, the user can be prompted to confirm the identified second device is the device the user wants to remotely control. The results of processing these signals can also be used so that the user can remotely interact with the second device.

Abstract: This application provides a data transmission method and a communications apparatus. The method includes: receiving uplink resource configuration information including information about at least two uplink reference points, and one uplink reference point corresponds to one uplink carrier; and determining, based on the uplink resource configuration information, an uplink carrier on which an uplink transmission resource is located.

Abstract: A cognitive system (artificial intelligence) is optimized by assessing different data augmentation methods used to augment training data, and then training the system using a training set augmented by the best identified method. The augmentation methods are assessed by applying them to the same set of training data to generate different augmented training data sets. Respective instances of the cognitive system are trained with the augmented sets, and each instance is subjected to validation testing to assess its goodness. The validation testing can include multiple validation tests leading to component scores, and a combined validation score is computed as a weighted average of the component scores using respective weights for each validation test. The augmentation method corresponding to the instance having the highest combined validation score is selected as the optimum augmentation method for the particular cognitive system at hand.

Abstract: Embodiments of this application includes: A first terminal calculates at least one of a first power headroom report (PHR) or a second power headroom report (PHR). The first PHR is a power headroom report of the first terminal on a first transmission link. The second PHR is a total power headroom report of the first terminal on the first transmission link and a second transmission link, the second transmission link is a wireless communication link between the first terminal and a network device, and frequency division multiplexing (FDM) is performed on part of transmission resources on the first transmission link and part of transmission resources on the second transmission link. The first terminal sends the at least one of the first PHR or the second PHR.

Abstract: A block of data intended for a set of receiving computer systems comprising a first system and a second system is divided into a set of equal-size portions. A first portion of the set of portions is transmitted from a first file server storing the block of data to the first system. The first portion is relayed from the first file server to a second file server concurrently with the transmitting. The first portion of the set of portions is transmitted from the second file server to the second system.

Abstract: A cognitive system (artificial intelligence) is optimized by assessing different data augmentation methods used to augment training data, and then training the system using a training set augmented by the best identified method. The augmentation methods are assessed by applying them to the same set of training data to generate different augmented training data sets. Respective instances of the cognitive system are trained with the augmented sets, and each instance is subjected to validation testing to assess its goodness. The validation testing can include multiple validation tests leading to component scores, and a combined validation score is computed as a weighted average of the component scores using respective weights for each validation test. The augmentation method corresponding to the instance having the highest combined validation score is selected as the optimum augmentation method for the particular cognitive system at hand.

Abstract: An uplink synchronization method and an apparatus are provided. The method includes: sending, by a network device, a timing advance command to a communications device, where the timing advance command includes a timing advance TA reference value, and the TA reference value corresponds to a carrier in a timing advance group TAG; determining, by the communications device, a TA offset of the carrier based on carrier information of the carrier; and adjusting, by the communications device, an uplink transmission timing of the carrier based on the TA reference value and the TA offset of the carrier.

Abstract: A multi-mode torque vectoring electric drive axle, including a main motor, an auxiliary motor, a differential, a first half shaft, a second half shaft, a primary reducer, a secondary reducer, a planetary gear set, a dual-gear mechanism and a three-phase actuator. The main motor and the auxiliary motor are respectively connected to input ends of the primary reducer and the secondary reducer. Output ends of the primary reducer and the secondary reducer are respectively connected to a differential housing and an input end of the planetary gear set. Two output ends of the planetary gear set are respectively connected to the three-phase actuator and the dual-gear mechanism. An output end of the dual-gear mechanism is connected to the differential housing. The three-phase actuator is a synchronous shifting mechanism for enabling locking, decoupling of the planetary gear set, and connection to the first half shaft.

Abstract: The present disclosure provides a device for conveying and dispersing a silicon wafer (100). The device for conveying and dispersing a silicon wafer (100) includes: a conveying component (20) configured for conveying a plurality of silicon wafers (200); a clamping component (10) disposed at two sides of the conveying component (20), the clamping component (10) being capable of clamping and conveying the plurality of silicon wafers (200); and a spraying component (30) disposed on the clamping component (10), wherein after the plurality of silicon wafers (200) are conveyed to an end close to the spraying component (30) of the conveying component (20) via the conveying component (20) and the clamping component (10), the spraying component (30) is capable of spraying water on the plurality of silicon wafers (200) to separate adjacent two of the plurality of silicon wafers (200).

Abstract: A turnaround mechanism of silicon wafers is provided. The turnaround mechanism includes a material frame, a supporting component, a second clamping component. The frame is provided with a material tank. The supporting component includes at least one first clamping component, and each of the at least one first clamping component is configured to clamp or release a support. The second clamping component includes two first rotating shafts disposed oppositely and two second clamping members, the two first rotating shafts are rotatably connected to the material frame, the two second clamping members are correspondingly disposed on the two first rotating shafts respectively, and each of the two second clamping members can rotate with a corresponding first rotating shaft, enabling the two second clamping members to move toward each other to clamp the silicon wafers to be separated.

Abstract: Embodiments disclosed herein provide for analyzing cryptocurrency-related information using artificial intelligence. The system and methods provide for: a credibility analysis engine configured to determine the credibility of the cryptocurrency-related information; an artificial intelligence engine configured to predict a cryptocurrency market trend based on the credibility of the cryptocurrency-related information; and a processor is configured to generate and execute a personalized trading decision based on the predicted cryptocurrency market trend.

Abstract: Systems and methods for autonomous vehicle operations are provided. An example computer-implemented method includes obtaining data indicative of vehicle fleet feature(s) associated with an autonomous vehicle fleet. The method includes obtaining data indicative of a vehicle service request associated with a user, the vehicle service request indicating a request for a vehicle service. The method includes determining user feature(s) associated with the user. The method includes determining a compatibility of the user and the autonomous vehicle fleet for the vehicle service based at least in part on the fleet feature(s) and the user feature(s). Determining the compatibility can include predicting how the autonomous vehicle fleet will perform the vehicle service associated with the vehicle service request based at least in part on the fleet's autonomy capabilities. The method includes communicating data associated with the vehicle service request to a computing system associated with the autonomous vehicle fleet.

Abstract: A dual-mode electric drive axle with torque parallel coupling and torque vectoring, including: a main motor, an auxiliary motor, a spur gear differential, a first half shaft, a second half shaft, a primary reducer, a secondary reducer, a dual-planetary gear set mechanism, a first clutch, a second clutch and a primary housing. The main motor and the auxiliary motor are respectively connected to input ends of the primary reducer and the secondary reducer. Output ends of the primary reducer and the secondary reducer are respectively connected to a housing of the spur gear differential and a gear ring of the dual-planetary gear set mechanism. A planet carrier of the dual-planetary gear set mechanism is connected to a sun gear through a first clutch, and a gear ring through a second clutch. A characteristic parameter of the dual-planetary gear set mechanism is 2.

Abstract: This application discloses a carrier switching solution for multi-carrier communication. A network device sends configuration information to a terminal. The configuration information includes first uplink carrier information and second uplink carrier information. The first uplink carrier information indicates that a first uplink carrier is an SRS switching-from uplink carrier. The second uplink carrier information indicates that a second uplink carrier is an SRS switching-to uplink carrier. At least one of the first uplink carrier and the second uplink carrier belongs to a cell including a supplementary uplink (SUL) carrier. The terminal may determine the SRS switching-from uplink carrier and the SRS switching-to uplink carrier in a plurality of configured uplink carriers based on the configuration information.

Abstract: A flow measurement apparatus comprising an elongated mounting stem having an inner stem cavity, the mounting stem configured to be mounted in an area of flow to be measured. A probe housing is mounted to an outer surface of the mounting stem and positioned on an upstream side of the mounting stem. The probe housing has a first hole near a center point of the housing and a second, third and fourth hole positioned near the perimeter of the housing. A fifth hole is located on a downstream side of the mounting stem. At least five pressure sensors and a plurality of pressure tapping tubes connecting the holes to the corresponding pressure sensors are included.

Abstract: An epitaxial structure includes a substrate, a nucleation layer, a buffer layer, and a nitride layer orderly. The nucleation layer consists of regions in a thickness direction, wherein a chemical composition of the regions is Al(1?x)InxN, where 0?x?1. The x value consists of four sections of variation along the thickness direction, in which a first fixed region has a maximum value, a first gradient region gradually changes from the maximum value to a minimum value, a second fixed region has the minimum value, and a second gradient region gradually changes from the minimum value to the maximum value. An absolute value of a gradient slope of the first and second gradient regions is 0.1%/nm to 50%/nm. A surface roughness of the nucleation layer in contact with the buffer layer is greater than that of the buffer layer in contact with the nitride layer.

Abstract: There is provided a method and apparatus for tracking a device. The tracked device may be a wearable device worn by a user participating in an athletic activity. An anchor device is positioned with respect to a playing area and receives signals from the tracked device. The anchor device estimates the position of the tracked device by measuring a distance and direction of the signal, and decodes the signal to obtain measurements taken by the tracked device. The position and the measurements are combined to produce tracking data for the device.

Abstract: A method and a system for model training are provided. The method can include training a first classifier, a second classifier, and a third classifier with subsets of a labeled dataset. The method can also include predicting a pseudo labeled dataset from an unlabeled dataset using the first classifier, the second classifier, and the third classifier. The method further includes assigning a role to the first classifier, to the second classifier, and to the third classifier. The method can further include selecting a teaching sample dataset from the pseudo labeled dataset based on the role assigned to the third classifier, wherein the third classifier is assigned a role of a student. The method can also include retraining the third classifier with the teaching sample dataset in conjunction with a subset of the labeled dataset.