Abstract: Apparatuses, systems, and techniques to identify objects in an image. In at least one embodiment, one or more neural networks identify the objects using pose information of the objects and visible properties of the objects.

Abstract: Impedance balancing of isolated converters to reduce common mode (CM) electromagnetic interference (EMI) noise over a wide frequency range. An impedance balanced isolator converter circuit comprises a plurality of resistor, inductor, and capacitor (RLC) branches (i) that are representative of a transformer circuit component, (ii) that are coupled in series with a plurality of respective noise source voltages, and (iii) comprise RLC parameters that are based on respective ones of a plurality of impedances associated with the transformer circuit component; a load impedance branch (i) that is representative of one or more transformer primary side circuit components and (ii) that is coupled in parallel with the plurality of RLC branches and the plurality of respective noise source voltages; and an RLC balance branch coupled in parallel with a first resistor, a first inductor, and a first capacitor that are associated with a first of the plurality of RLC branches.

Abstract: The present disclosure relates to a device and a method for spectrum management. There is provided an electronic device for spectrum management in a wireless communication system, the wireless communication system includes a plurality of general authorization systems, the electronic device includes a processing circuitry configured to: receive spectrum requests from two or more general authorization systems of the plurality of general authorization systems, wherein the spectrum requests from the two or more general authorization systems are in conflict; transmit an expected spectrum efficiency reporting instruction to the two or more general authorization systems; receive expected spectrum efficiency information from the two or more general authorization systems; and transmit an authorization response including a success indication to a first general authorization system of the two or more general authorization systems with higher expected spectrum efficiency.

Abstract: The present disclosure relates to an electronic device and a communication method. The electronic device comprises: processing circuitry configured to: acquire respective spectrum usage information of a plurality of wireless devices; and determine spectrum usage correlation among the plurality of wireless devices based on the respective spectrum usage information of the plurality of wireless devices, the spectrum usage correlation being used for allocating spectrum resources to the plurality of wireless devices.

Abstract: The present application relates to an electronic device and method for wireless communication, and a computer-readable storage medium. The electronic device for wireless communication comprises a processing circuit, wherein the processing circuit is configured to receive at least one sensing signal from a primary user by means of at least one equivalent channel, said channel being established between the electronic device and the primary user by means of at least one reconfigurable intelligent surface and corresponding to a direct channel between the primary user and the electronic device, so as to determine whether the primary user occupies a predetermined frequency band used by the direct channel and the at least one equivalent channel. (FIG.

Abstract: A system and methods based on light sheet microscopy (LSM) and optically detected magnetic resonance (ODMR) are provided. The system includes a cylindrical lens; an objective lens combined with the cylindrical lens to generate a light sheet for exciting a sample from one side; a collection objective lens for collecting fluorescence generated by the sample; a galvo mirror for scanning the light sheet to realize three-dimensional imaging and sensing; an antenna for introducing microwave with frequency sweeping to the sample; and an image sensor for collecting the fluorescence of the sample under each microwave frequency point with same exposure time to obtain ODMR signals. The sample is fixed on a 3D stage and the position of the sample is adjustable. The temperature sensitivity using the LSM-ODMR method can reach a few K/?{square root over (Hz)}.

Abstract: A processing circuit is configured to: receive an authorization response message from a spectrum access system (SAS), the authorization response message has information of one or more protective points; determine an interference power of the electronic device to a first protection point in the one or more protection points at a first frequency at which the first protection point operates, based at least on transmission parameters of the electronic device, a location of the first protective point and the first frequency; and record interference information and an interference threshold requirement of the first protective point to a blockchain network, wherein the interference information comprises the interference power of the electronic device to the first protective point, to be used by the blockchain network to control aggregated interference of one or more secondary users to the first protective point.

Abstract: Systems and methods that use at least one neural network to infer content of individual frames in a sequence of images and to further infer changes to content in sequence of images over time to determine whether one or more anomalous events are present in sequence of images is described herein.

Abstract: Systems, methods, and computer program products calculate a historical feature similarity point distribution associated with a first machine learning model, calculate a real-time feature similarity point distribution associated with a second machine learning model, and automatically provide, based on a comparison of the historical feature similarity point distribution to the real-time feature similarity point distribution, an indication of whether the second machine learning model is aligned with the first machine learning model.

Abstract: Provided is a pressure-resistant underwater acoustic coating structure with a mesh structure interlayer, including an outer coating, a mesh structure interlayer, an inner coating, and a metal backing; wherein the outer coating is used for inputting acoustic waves, the mesh structure interlayer and the inner coating are used for consuming acoustic wave energy, and the metal backing is used for enriching a sound absorption mode; and the outer coating, the mesh structure interlayer, the inner coating and the metal backing are attached in sequence.

Abstract: In various examples, a set of object trajectories may be determined based at least in part on sensor data representative of a field of view of a sensor. The set of object trajectories may be applied to a long short-term memory (LSTM) network to train the LSTM network. An expected object trajectory for an object in the field of view of the sensor may be computed by the LSTM network based at least in part an observed object trajectory. By comparing the observed object trajectory to the expected object trajectory, a determination may be made that the observed object trajectory is indicative of an anomaly.

Abstract: Embodiments of the present disclosure provide an interaction method and apparatus, an electronic device, and a storage medium. The method includes: displaying a preset control for target media content on a preset page; and displaying first prompt information in response to a preset trigger operation acting on the preset control, the preset trigger operation is different from a like operation acting on the preset control, the first prompt information is used to prompt that a number of recommendations of media content of a target type is to be increased, and the target type is a media content type of the target media content.

Abstract: Apparatuses, systems, and techniques to train neural networks to perform classification. In at least one embodiment, one or more neural networks are trained to perform classification based, at least in part, on grouping one or more sets of neural network training data according to behaviors of one or more objects within one or more images represented by the training data.

Abstract: The disclosure provides a virtual object processing method, device, and a storage medium. The method includes: First, a virtual scene page corresponding to a target virtual space is displayed, where user identifiers respectively corresponding to a first user and at least one second user included in the target virtual space are presented on the virtual scene page. Then, a first virtual object is determined for the first user based on the virtual scene page. A first virtual resource corresponding to the first virtual object is presented on the virtual scene page in response to receiving a preset trigger operation for the first virtual object, where the first virtual resource includes an animation and a sound effect configured for the first virtual object.

Abstract: In a dynamic spectrum management apparatus, system, method, and computer program product first and second priority level secondary users dynamically use spectrum resources of a primary user. For second priority level secondary users, processing circuitry is configured to, based on blockchain, obtain a spectrum coordination request, acknowledged by a spectrum management apparatus, of another second priority level secondary user serving as a requester for the spectrum resources, wherein the blockchain at least comprises each second priority level secondary user, who is using or requests the use of the spectrum resources, serving as a node, and the spectrum coordination request indicates that the requester makes a request for the second priority level secondary user, who is using the spectrum resources, to perform coordination to provide an interference margin for the requester; and execute a first smart contract on the blockchain, so as to determine content of coordination to be performed.

Abstract: An ECG waveform display method is provided. The method includes: An electronic device starts an ECG waveform detection application, to collect an ECG waveform; the electronic device reads wearing part data between the electronic device and a wrist of a user, where the wearing part data is obtained through IMU wearing part identification; the electronic device determines first wearing part information based on wearing status data, and the determined state is a first determined state or a second determined state; the electronic device obtains second wearing part information between the electronic device and the wrist of the user through ECG wearing part identification; and when the first wearing part information and the second wearing part information are the same and indicate a determined state, the electronic device displays the ECG waveform on a display in a display manner corresponding to the determined state.

Abstract: The field of power systems includes a switching control method for a converter apparatus in a power supply system and the apparatus. This solution may be applied to a power conversion system in scenarios such as a new energy microgrid or an electrochemical energy storage station. In the method, a voltage of the converter apparatus at a control switching moment is stored, the voltage is used as an initial value after switching is performed, and the voltage is transited to a rated voltage in a first time period.

Abstract: An output end of a power converter is connected to a microgrid bus, and the microgrid bus is connected to an external power grid through a grid-tied switch. When detecting that a power grid fails, the power converter is in a first current source control mode. After a duration of the power grid failure reaches a first duration, the power converter switches from the first current source control mode to a first voltage source control mode. The first current source control mode is a current source failure ride-through control mode. The first voltage source control mode is a voltage source failure ride-through control mode. The first duration is less than a second duration, and the second duration is a time interval between a moment at which the power grid fails and a moment at which the grid-tied switch is turned off.

Abstract: Provided are a method and an apparatus of training a radiation image recognition model online and a method and an apparatus of recognizing a radiation image. Preset data is pre-stored in a radiation inspection system, and the preset data includes a first radiation image. The method of training radiation image recognition model online includes: collecting a second radiation image at the radiation inspection site; labeling the second radiation image online to form on-site collected data having a second labeling information, wherein the second labeling information is an incomplete labeling information of the second radiation image, and the second labeling information is used to indicate at least one of objects of interest in the second radiation image; synthesizing the preset data and the on-site collected data online to form a training data set; and training the radiation image recognition model online using the training data set.