Abstract: The present disclosure provides a method for assessing hot coal fallout propensity of burning cigarettes based on human behavior features of ash-tapping action. The method is characterized in that the method is accomplished through an apparatus for detecting hot coal fallout propensity based on human behavior features of ash-tapping action, which include behavior features of human action of tapping cigarette ash, features of holding a cigarette, and features of force applying process and other aspects. This method can provide objective and accurate test basis for evaluation of cigarette fallout performance.

Abstract: Pattern transfer printing (PTP) systems and methods are provided to improve the quality, accuracy and throughput of pattern transfer printing. PTP systems comprise a tape handling unit for handling a tape with pattern transfer sheets sections and for controllably delivering the pattern transfer sheets one-by-one for paste filling and consecutively for pattern transfer, with the tape moving from an unwinder roll to a re-winding roll. PTP systems further comprise a paste filling unit which enables continuous paste filling using a supporting counter roll opposite to the paste filling head, a wafer handling unit controllably delivering wafers for the pattern transfer in a parallelized manner that increases throughput, a paste transfer unit with enhanced accuracy and efficiency due to exact monitoring and wafer alignment, as well as a print quality control unit.

Abstract: Disclosed is a processing technology for inhibiting weld coarse grains of magnesium alloy profiles, including the following steps: preparation of a magnesium alloy ingot, homogenization, scalping, extrusion, pre-stretching at room temperature, solution treatment, quenching, stretching correction, artificial aging, etc. The processing technology can effectively control the production of weld coarse grains in extrusion and heat treatment processes of magnesium alloy profiles, and all property indexes of final products are higher than standard requirements.

Abstract: Methods, apparatus and systems for reference signal configuration in a wireless communication are disclosed. In one embodiment, a method performed by a wireless communication device is disclosed. The method comprises: generating a pilot signal occupying N symbol resources, wherein the pilot signal includes at least one most sparse reference signal (RS) port that is determined from a predetermined pool of most sparse RS ports, wherein the predetermined pool includes at least N most sparse RS ports, wherein N is an integer larger than one; and transmitting a signal comprising the pilot signal to a wireless communication node.

Abstract: A face recognition method. The method includes: obtaining a face image to be recognized; extracting a face image feature based on the face image by using a pre-trained feature extraction network; extracting a plurality of facial geometric feature points from the face image to determine a plurality of feature point sets, where each of the plurality of feature point sets corresponds to one face part, and the feature point set includes at least one facial geometric feature point; obtaining a face topology structure feature based on the plurality of feature point sets, where the face topology structure feature is used to determine a relative location relationship between the plurality of feature point sets; and performing matching in a preset face database based on the face topology structure feature and the face image feature, to obtain a face recognition result.

Abstract: Provided are a signal processing method and apparatus, a first communication node, a second communication node, and a storage medium. The signal processing method includes acquiring N first sequences, combining the N first sequences to obtain a second sequence, and generating a signal according to the second sequence. N is an integer greater than or equal to 2.

Abstract: A data transmission method and apparatus, a first communication node, and a second communication node are provided. The method includes: acquiring data, wherein the data includes information of N pilots; and sending the data and the N pilots; wherein N is an integer greater than or equal to 1.

Abstract: Provided is a data processing method and apparatus, a first communication node, a second communication node and a storage medium. The data processing method includes: N first sequences are acquired; a second sequence is determined according to at least one first sequence of the N first sequences; a processing is performed on data based on the second sequence to obtain data symbols; and the N first sequences and the data symbols are sent; where N is an integer greater than or equal to 2.

Abstract: Disclosed are a reference signal processing method and apparatus, a first communication node, and a second communication node. The reference signal processing method may include: creating w sequences, wherein different first communication nodes do not all take a same value of w, and w is a positive integer; generating a reference signal based on the w sequences; and sending the reference signal and a data signal which corresponds to the reference signal.

Abstract: A system and method for sending data are disclosed herein. In one embodiment, a method performed by a wireless communication device includes generating, by a wireless communication device, a plurality of packets to be transmitted via a plurality of resource positions in frequency domain and time domain. The method includes transmitting, by the wireless communication device, each of the plurality of packets with information indicative of at least a resource position of another of the plurality of packets.

Abstract: Embodiments of the present application disclose an audio matching method and a related device. The audio matching method includes: obtaining audio data and video data; extracting to-be-recognized audio information from the audio data; extracting lip movement information of N users from the video data, where N is an integer greater than 1; inputting the to-be-recognized audio information and the lip movement information of the N users into a target feature matching model, to obtain a matching degree between each of the lip movement information of the N users and the to-be-recognized audio information; and determining a user corresponding to the lip movement information of the user with the highest matching degree as the target user to which the to-be-recognized audio information belongs.

Abstract: A method for diagnosing analog circuit fault based on vector-valued regularized kernel function approximation, includes steps of: step (1) acquiring a fault response voltage signal of an analog circuit; step (2) carrying out wavelet packet transform on the collected signal, and calculating a wavelet packet coefficient energy value as a characteristic parameter; step (3) utilizing a quantum particle swarm optimization algorithm to optimize a regularization parameter and kernel parameter of vector-valued regularized kernel function approximation, and training a fault diagnosis model; and step (4) utilizing the trained diagnosis model to recognize circuit faults.

Abstract: The present disclosure provides devices, systems, and methods for time correction. The device may include a first time measurement component configured to measure a receiving time of a valid signal; a correction component configured to collect correction information for correcting the receiving time of the valid signal; and a processing device configured to determine a corrected receiving time of the valid signal by correcting the receiving time of the valid signal based on the correction information.

Abstract: A method for monitoring an online state of a bonding wire of an Insulated Gate Bipolar Translator (IGBT) module comprises the following steps: Step 1, constructing a full bridge inverter circuit and an online measuring circuit and connecting two input ends of the online measuring circuit to a collecting electrode and an emitting electrode of an IGBT power module of the full bridge inverter circuit to realize a connection of the full bridge inverter circuit and the online measuring circuit; Step 2, establishing a three-dimensional data model of a healthy IGBT; Step 3, establishing a three-dimensional data model of the IGBT with a broken bonding wire; Step 4, optimizing a least squares support vector machine by adopting a genetic algorithm; and Step 5, estimating states of the three-dimensional data models obtained in the Step 2 and the Step 3 by utilizing the optimized least squares support vector machine.

Abstract: Provided are a pose prediction method and apparatus, and a model training method and apparatus. The pose prediction method includes: performing target identification on a first image to be predicted to determine an area where a target object is located; determining a transformed target image based on the area where the target object is located; inputting the transformed target image into a pose decoupling prediction model for pose prediction; and determining a rotation amount of the target object based on an outputted result of a rotation amount branch network of the pose decoupling prediction model and determining a translation amount of the target object based on an outputted result of rotation amount branch network of the pose decoupling prediction model. By means of decoupling rotation and translation in object pose, the accuracy of pose prediction can be improved.

Abstract: A method for diagnosing analog circuit fault based on cross wavelet features includes steps of: inputting an excitation signal to an analog circuit under test, and collecting time domain response output signals to form an original data sample set; dividing the original data sample set into a training sample set and a test sample set; performing cross wavelet decomposition on both sets; applying bidirectional two-dimensional linear discriminant analysis to process the wavelet cross spectra of the training sample set and the test sample set, and extracting fault feature vectors of the training sample set and the test sample set; submitting the fault feature vectors of the training sample set to a support vector machine for training an SVM classifier, constructing a support vector machine fault diagnosis model; and inputting the fault feature vectors of the test sample set into the model to perform fault classification.

Abstract: Provided are a pose prediction method and apparatus, and a model training method and apparatus. The pose prediction method includes: performing target identification on a first image to be predicted to determine an area where a target object is located; determining a transformed target image based on the area where the target object is located; inputting the transformed target image into a pose decoupling prediction model for pose prediction; and determining a rotation amount of the target object based on an outputted result of a rotation amount branch network of the pose decoupling prediction model and determining a translation amount of the target object based on an outputted result of rotation amount branch network of the pose decoupling prediction model. By means of decoupling rotation and translation in object pose, the accuracy of pose prediction can be improved.

Abstract: The present disclosure provides a method for assessing hot coal fallout propensity of burning cigarettes based on human behavior features of ash-flicking action. The method is characterized in that the method is accomplished through an apparatus for detecting hot coal fallout propensity based on human behavior features of ash-flicking action, which include behavior features of human action of flicking cigarette ash, features of holding a cigarette, and features of force applying process and other aspects. This method can provide objective and accurate test basis for evaluation of cigarette fallout performance.

Abstract: The present disclosure discloses a drilling machine. The drilling machine may include a base, a mast arranged on the base, an iron roughneck, a drill floor mechanical arm, a top drive arranged on the mast, a pipe racker on a finger board, a power finger board, a power catwalk arranged on the ground, and an elevator arranged on the top drive. The drill machine and a corresponding tripping out and tripping in method may be used to vertically transport a stand between a well center and a region of at least one pipe setback efficiently, which may improve the efficiency of tripping out and tripping in, and reduce the risk of accidents in the well. In addition, the present disclosure provides a corresponding method for offline connecting and disconnecting stands during a drilling operation, which may reduce a preparation time during the drilling, improve the drilling efficiency, and reduce the cost of oilfield development.

Abstract: The present disclosure discloses a drilling machine. The drilling machine may include a base, a mast arranged on the base, an iron roughneck, a drill floor mechanical arm, a top drive arranged on the mast, a pipe racker on a finger board, a power finger board, a power catwalk arranged on the ground, and an elevator arranged on the top drive. The drill machine and a corresponding tripping out and tripping in method may be used to vertically transport a stand between a well center and a region of at least one pipe setback efficiently, which may improve the efficiency of tripping out and tripping in, and reduce the risk of accidents in the well. In addition, the present disclosure provides a corresponding method for offline connecting and disconnecting stands during a drilling operation, which may reduce a preparation time during the drilling, improve the drilling efficiency, and reduce the cost of oilfield development.