Abstract: The present disclosure provides a multi-excitation-source axial-flux permanent-magnet motor with partitioned, hierarchical, and variable poles, and a variable-condition driving control system. The motor mainly includes a main magnetic pole and an auxiliary magnetic pole. The main magnetic pole is responsible for providing a main air gap flux and is connected in series with a dual-stator magnetic circuit. The auxiliary magnetic pole is responsible for adjusting an air gap field and is connected in parallel with the dual-stator magnetic circuit. Magnetic fluxes of the main magnetic pole and the auxiliary magnetic pole together constitute the air gap field. The present disclosure can control a flux path of the auxiliary magnetic pole by controlling the magnitude of a current applied to a field winding, thereby adjusting an air gap flux, expanding a speed range of the motor, and achieving variable-condition operation of the motor.

Abstract: Various examples are directed to systems and methods for characterizing natural language text units. A plurality of text units may be used to train a bidirectional model. A bidirectional model may be applied to a set of annotated text units to generate a plurality of span context vectors. The plurality of span context vectors may be used to train a span prediction model. The span prediction model may be applied to at least a portion of the plurality of text units to generate a plurality of span characterizations, a first span characterization corresponding to a first span indicating that the first span describes a first job skill.

Abstract: A modular adversarial training data generator (“generator”) generates adversarial training data for a machine learning (ML) model to detect malicious protocol data units (PDUs). The adversarial training data mimics high volume cyberattacks by perturbing PDUs to bypass malicious detection systems. For HyperText Transfer Protocol (HTTP) PDUs, the generator rearranged, replaces, and grid searches values of HTTP header fields to generate the adversarial training data. The generator further biases grid search based on metrics for values of HTTP header fields that quantify impact of replacing the values on malicious verdicts by ML models trained on the adversarial training data.

Abstract: A method of fabricating of an object includes causing a first heat source to heat a feed material to form a melt pool of the feed material on a surface. The method further includes causing a second heat source to heat the melt pool on the surface to regulate grain formation of the feed material in the melt pool as the melt pool cools and solidifies on the surface to form at least a portion of the object. The method also includes causing the first heat source and the second heat source to move relative to the surface as the melt pool is formed and cooled.

Abstract: A method for cultivating alcohol-brewing sorghum on the basis of a biodegradable mulching film includes five steps such as farmland preparation, film mulching, sowing operation, field management and harvesting. Compared with a traditional alcohol-brewing sorghum planting method, the method of the present invention can effectively bring forward the planting time of alcohol-brewing sorghum, reduce the sowing amount of alcohol-brewing sorghum, assist in increasing the germination rate of alcohol-brewing sorghum, and promote the growth and development of alcohol-brewing sorghum; moreover, the method of the present invention effectively reduces the labor intensity and cost of a weeding operation in field management.

Abstract: The present disclosure provides a multi-excitation-source axial-flux permanent-magnet motor with partitioned, hierarchical, and variable poles, and a variable-condition driving control system. The motor mainly includes a main magnetic pole and an auxiliary magnetic pole. The main magnetic pole is responsible for providing a main air gap flux and is connected in series with a dual-stator magnetic circuit. The auxiliary magnetic pole is responsible for adjusting an air gap field and is connected in parallel with the dual-stator magnetic circuit. Magnetic fluxes of the main magnetic pole and the auxiliary magnetic pole together constitute the air gap field. The present disclosure can control a flux path of the auxiliary magnetic pole by controlling the magnitude of a current applied to a field winding, thereby adjusting an air gap flux, expanding a speed range of the motor, and achieving variable-condition operation of the motor.

Abstract: Introduced are a method, a software apparatus, an electronic device, and a storage medium for simulating inerter using finite element analysis. The method involves: acquiring structural parameters of an inerter; simulating the mechanical properties of racks on rigid rods and flywheels within the inerter using the structural parameters and a finite element platform; formulating constraint equations and transformation formula to simulate translational-rotational conversion and inertia amplification mechanism of the inerter; integrating the force and constraint information to achieve the finite element simulation of the inerter. The finite element simulation method for the inerter addresses the challenge of lacking “inerter units” and the inability to simulate inertia components in general finite element software platforms. It also overcomes the technical bottleneck of real-time dynamic coupling simulation between inerter and complex engineering structures.

Abstract: The present disclosure is generally related to a deep neural network (DNN) device comprising a plurality of spin-orbit torque (SOT) cells. The DNN device comprises an array comprising n rows and m columns of nodes, each row of nodes coupled to one of n first conductive lines, each column of nodes coupled to one of m second conductive lines, each node of the n rows and m columns of nodes comprising a plurality of SOT cells, each SOT cell comprising: at least one SOT layer, at least one ferromagnetic (FM) layer, and a controller configured to store at least one corresponding weight of an n×m array of weights of a neural network in each of the SOT cell. The FM layer may comprise two or more domains, two or more elliptical arms, or two or more states.

Abstract: The disclosure provides a security analysis method and system based on protocol state, which relates to the technical field of protocol security protection. The method includes the following: a node traversal table is built, the node traversal table is scanned and analyzed according to the protocol trigger sequence rule, a first security evaluation factor of a protocol stack is determined, and a second security evaluation factor of each protocol is determined based on protocol normal application rule, and the trustworthiness degree of the second security factor is determined based on the first security factor, and the second security factor is revised based on the trustworthiness degree, and the security state of the protocol is determined according to the revised second security factor, thus the analysis of the protocol state is realized, and the security of the protocol can be accurately determined.

Abstract: A method of modeling anatomic deformation comprises receiving a reference three dimensional model of a branched anatomical formation in a reference state. The method further comprises applying a three dimensional deformation field to the reference three dimensional model to create a deformed three dimensional model of a deformed state of the branched anatomical formation and dynamically displaying an image of the deformed three dimensional model of the deformed state of the branched anatomical formation.

Abstract: An operation control method and system for a clothing treatment device having a drum and a motor is provided. Load inertia of the drum and a fluctuation parameter of the motor are obtained. Load eccentric mass of the clothing treatment device is obtained based on the load inertia, the fluctuation parameter, and predetermined relationship data that is obtained based on pre-stored load inertia, torque fluctuation and load eccentric mass. The fluctuation parameter can be a torque fluctuation parameter or a rotation speed fluctuation parameter. The clothing treatment device can be controlled according to the load eccentric mass to optimize washing operations. For example, clothing and/or inlet water amount can be timely adjusted according to the calculated load eccentric mass. Thus, the clothing treatment device is prevented from producing significant noise during operations, and the service life of the clothing treatment device can be prolonged.

Abstract: Methods, systems, and computer-readable storage media for a multimodal machine learning image and text combined search method. One example method includes processing items that each have an associated image and a textual description. A first image feature vector is generated by processing a first image using a first machine learning model. A first textual feature vector is generated by processing a first textual description using a second machine learning model. The first image feature vector and the first textual feature vector are combined to generate a first combined feature vector for a first item. Similarity lists of similar items are generated for the first item based on similarities between the first image feature vector, the first text feature vector, the first combined feature vector and respective corresponding vectors of other items. The similarity lists for the first item are combined to generate a combined similarity list for the first item.

Abstract: The present application relates to the technical field of computers, and discloses a micro-front-end-based page internationalization configuration method and apparatus, a device and a medium. The method includes: creating an internationalized page in a micro-front-end main application, and configuring the internationalized page to obtain a configured internationalized page; persisting data in the configured internationalized page; and reading the data and transmitting the data to at least one micro-front-end sub-application for any one of the micro-front-end sub-applications to perform page translation according to the data.

Abstract: The disclosure provides a security analysis method and system based on protocol state, which relates to the technical field of protocol security protection. The method includes the following: a node traversal table is built, the node traversal table is scanned and analyzed according to the protocol trigger sequence rule, a first security evaluation factor of a protocol stack is determined, and a second security evaluation factor of each protocol is determined based on protocol normal application rule, and the trustworthiness degree of the second security factor is determined based on the first security factor, and the second security factor is revised based on the trustworthiness degree, and the security state of the protocol is determined according to the revised second security factor, thus the analysis of the protocol state is realized, and the security of the protocol can be accurately determined.

Abstract: Transcript generation as part of automatic speech recognition may be guided using section types. Audio data is received for transcription. An initial transcript of the audio data may be generated and evaluated to determine a section type for the audio data. The section type may then be used to focus generation of a second version of the transcript on one speaker over another speaker.

Abstract: An in-kernel virtual machine (“VM”) instantiated in the kernel space of a physical or virtual machine (“machine”) attaches code hooks at a network interface of the machine. The code hooks redirect network traffic from the network interface to a module that generates feature values at the kernel space from protocol data units of network traffic received by the network interface. The machine passes the feature values from kernel space to user space via zero-copy shared memory and a machine learning model in the user space obtains network traffic verdicts as outputs from inputting the feature values. The machine passes the verdicts from user space to kernel space via the zero-copy shared memory and the in-kernel VM performs corrective action based on malicious verdicts.

Abstract: The present disclosure provides an electronic device and a method for controlling data updates of the electronic device, the electronic device comprising: a control portion including a storage configured to store data and a controller configured to control data updates in the storage; a power supply portion; a power storage portion configured to be connected with the power supply portion, receive and store electric power of the power supply portion, and supply the electric power to the control portion; and a power supply detection portion configured to detect whether the power supply portion supplies power normally, the storage includes a first storage portion configured to store start-up data for electronic device start-up and a second storage portion configured to store running data for electronic device running after start-up; in the process of updating the start-up data of the first storage portion, if the power supply detection portion detects the power supply portion has a power supply abnormality, the

Abstract: Provided are tuning circuit and communication device. The tuning circuit includes tuning switch, ground patch point, and at least two sets of patch units. Each set of patch units at least includes a first patch point and a second patch point; the tuning switch comprises a standard port and at least one conversion port, and each set of patch units is connected to the corresponding conversion port; a first end of a first patch point and a first end of a second patch point in the same set of patch units are connected to the same conversion port; second ends of first patch points in different patch units are respectively connected to different contact points of an antenna; the second ends of all the second patch points are connected to the ground; and both ends of the ground patch point are respectively connected to the standard port and the ground.