Abstract: The present disclosure provides a multi-view collaborative tracking method and apparatus for a fast moving target under a low luminance condition, including a multi-view target tracking algorithm based on radar-vision fusion data and an unmanned aerial vehicle (UAV) cluster collaborative tracking technology. This method takes the spatiotemporal normalized multi-source data as the learning objective of multi-agent reinforcement learning, to drive the cluster to collect data from multiple angles and directions. In this way, highly-efficient multi-angle collaborative observation can be performed on a high-speed moving object in an environment of weak texture and low luminance.

Abstract: A technology for preparing a high-temperature-resistant epoxy energy storage film based on a liquid crystalline ordered structure includes: S1, mixing a biphenyl type liquid crystalline epoxy (LCE) monomer, a bisphenol-A epoxy monomer, and a curing agent at a certain ratio, while performing magnetic stirring treatment and oil-bath heating melting treatment, to obtain a molten mixture; and S2, performing degassing treatment on the molten mixture obtained in the S1, and then pouring the degassed mixture into a mold; and performing heating curing treatment on the degassed mixture through a hot-press approach to obtain an epoxy film. Incorporation of highly polarized C—F bonds into the liquid crystalline molecule-modified epoxy film increases an energy storage density of the epoxy film, and enhances high-temperature energy storage characteristics of the epoxy film; moreover, the cured epoxy film has a liquid crystalline ordered structure and achieves a synchronous enhancement of a thermal conductivity.

Abstract: Disclosed are an information interaction method and apparatus, and an electronic device. A specific implementation of the method comprises: acquiring a first near-field communication signal; extracting, from the first near-field communication signal, first pairing information for pairing with a multimedia conference terminal; and sending the first pairing information to a server, so as to instruct the server to determine a target multimedia conference terminal on the basis of the first pairing information and to establish a communication connection between the target multimedia conference terminal and a user terminal device. By means of the implementation, the convenience for a user to control a multimedia conference terminal is improved. In addition, the overall cost of a multimedia conference system can be reduced.

Abstract: A controller for scheduling mmWave communication is provided. The controller is programmed to identify a plurality of states, each of the plurality of states indicating status of mmWave communication links among a plurality of nodes, calculate an updated value for each of the plurality of states iteratively based on a value iteration algorithm and a previous value for each of the plurality of states until the updated value for each of the plurality of states converges, and select one of the plurality of states based on the converged values for the plurality of states.

Abstract: Disclosed is a broad-spectrum phage for efficiently lysing Cronobacter, a bactericide, and use thereof. Also provided is a Cronobacter phage vB_CsaM_CBT2, where the phage has a deposit number of CCTCC NO: M 2023524. The phage only specifically lyses Cronobacter, has a broad lysis spectrum, and can cover four species of Cronobacter (including multi-drug-resistant bacteria). The phage shows a desirable stability at a pH value of 3 to 11 and 25° C. to 70° C., and has a bactericidal effect of 80.55% to 99.97% within 12 h in a milk powder sample. Moreover, the phage does not carry any virulence and antibiotic resistance genes, and meets the safety requirements in practical applications. Therefore, the phage provides a new strategy and resource guarantee for the control of Cronobacter contamination in powdered infant formula (PIF) and its industrial chain and environment, as well as the development of bactericides.

Abstract: A cleaning system and a method suitable for an ultra-large-scale photovoltaic power station are provided; including a control terminal, an intelligent control center, and a large-load unmanned helicopter, the control terminal is provided with an operation interface to receive an instruction from an operator and transmit the instruction to the intelligent control center through a wireless communication, the intelligent control center is provided with a processor, a wireless communication module, a flight monitoring and control module, and a data feedback and optimization module; the present invention adopts the above system and method, the use of large-load unmanned helicopters is wide, which is more suitable for ultra-large-scale photovoltaic power stations, the high-pressure gas-liquid two-phase flow cleaning device is mounted on the large-load unmanned helicopter, which can carry out precise cleaning operations along the arrangement of photovoltaic panels, and spray high-pressure water and gas to remove dus

Abstract: A cleaning system and a method suitable for an ultra-large-scale photovoltaic power station are provided; including a control terminal, an intelligent control center, and a large-load unmanned helicopter, the control terminal is provided with an operation interface to receive an instruction from an operator and transmit the instruction to the intelligent control center through a wireless communication, the intelligent control center is provided with a processor, a wireless communication module, a flight monitoring and control module, and a data feedback and optimization module; the present invention adopts the above system and method, the use of large-load unmanned helicopters is wide, which is more suitable for ultra-large-scale photovoltaic power stations, the high-pressure gas-liquid two-phase flow cleaning device is mounted on the large-load unmanned helicopter, which can carry out precise cleaning operations along the arrangement of photovoltaic panels, and spray high-pressure water and gas to remove dus

Abstract: An intelligent system for a photovoltaic cleaning robot includes: a control terminal, an intelligent control center, a stain detection database, and an intelligent device; where the intelligent device includes a camera shooting module, a motion flight module, and a cleaning module; the intelligent device and the intelligent control center are integrated on the photovoltaic cleaning robot; the intelligent control center and the control terminal are connected by a wireless communication; the intelligent control center is connected to the stain detection database through the wireless communication. In the intelligent system for the photovoltaic cleaning robot, even in a distributed photovoltaic power station with a harsh environment and terrain, it can also do the unmanned intelligent cleaning operation and maintenance work of the photovoltaic plate, where the operator only needs to operate the control terminal according to the attenuation of power generation of the power station to issue simple instructions.

Abstract: A communication method includes: receiving, by a second device, a communication request sent by a first device, where the communication request is triggered by a first application on the first device; and displaying a communication status responding to the communication request synchronously on the first application and a second application on the second device; where the first application and the second application are applications that support execution of a communication function corresponding to the communication request.

Abstract: Provided are an emergency call method and apparatus, a storage medium, and a terminal, related to the technical field of communications. Firstly, it is determined whether the current network device supports an emergency call established on an IMS domain; then, if the current network device supports the emergency call established on the IMS domain, the emergency call is established on the IMS domain. Finally, if the emergency call established on the IMS domain fails, the emergency call is established on the CS domain. If the current network device supports the emergency call established on the IMS domain, it represents that the current network allows the emergency call established on the IMS domain, so the emergency call can be prioritized to be established on the IMS domain, and when the emergency call established on the IMS domain fails, the emergency call may also be established on the CS domain.

Abstract: The disclosure provides a method for assembling and interconnecting FBAR filter and an electronic device. The method includes constructing an equivalent circuit model of an assembled FBAR filter according to a circuit model of a filter chip and the grounding circuit of the FBAR filter; modeling, simulating and calculating the grounding circuit to extract parasitic parameters corresponding to the grounding pad and a grounding bond-wire of the grounding circuit, respectively; feedbacking the parasitic parameters back into the equivalent circuit model, and using the circuit simulation software to obtain an S parameter of the filter; adjusting the parasitic parameters of the grounding circuit to optimize an S parameter performance of the FBAR filter: obtaining an optimal assembly configuration of the FBAR filter to guide the assembly. The parasitic parameters include a parasitic inductance of the grounding bond-wire and a parasitic capacitance and parasitic inductance of the grounding pad.

Abstract: A method for constructing a structural semantic map under an underground weak-light and low-texture environment is provided. The method includes: fusing traditional methods with a parameter line detection and verification model of structural semantics of a Transformer; and establishing a geometric primitive half-plane search method guided by the direction of structural information. The method also includes establishing a neighborhood greedy expansion algorithm based on a geometric primitive model; and optimizing geometric primitive poses and boundaries one by one. The method further includes fusing a point cloud map with structural information, and establishing a semantic map with geometric structure primitives.

Abstract: A method of identifying entities from different data sources as matching entity pairs that refer to a same real-world object is provided. A set of labelling functions are provided to determine matching entities and non-matching entities of a source data set and a least one target data set. A subset of labelling functions are selected from the provided set of labelling functions for training machine learning models for a blocking module that aims at filtering out as many unmatched entity pairs as possible without missing any true matches and for a matching module that aims at predicting matching results for remaining entity pairs not filtered out by the blocking module. Both a blocking model for the blocking module and a matching model are jointly learned for the matching module based on available unlabeled entity pairs and the labelling functions of the selected subset of labelling functions.

Abstract: A vehicle includes one or more sensors configured to obtain raw data related to a scene, one or more processors, and machine readable instructions stored in one or more memory modules. The one machine readable instructions, when executed by the one or more processors, cause the vehicle to: process the raw data with a first neural network stored in the one or more memory modules to obtain a first prediction about the scene, transmit the raw data to a computing device external to the vehicle, receive a second prediction about the scene from the computing device in response to transmitting the raw data to the computing device, and determine an updated prediction about the scene based on a combination of the first prediction and the second prediction.

Abstract: The present disclosure provides a phage for lysing Burkholderia gladioli and use thereof, and belongs to the technical field of phages. The phage for lysing Burkholderia gladioli provided by the present disclosure is Burkholderia gladioli phage vB_BglM_WTB with an accession number of CCTCC M 2023525, which is a novel phage. The phage provided by the present disclosure has a strong lytic effect on the Burkholderia gladioli with higher temperature tolerance and wider acid-base tolerance range and effectively kills the Burkholderia gladioli on food surface, providing a new strategy for controlling the Burkholderia gladioli in food processing and environment.

Abstract: The disclosure includes embodiments for modifying a vehicle-to-everything (V2X) radio of an ego vehicle that is a connected vehicle. In some embodiments, a method includes analyzing, by a machine learning module executed by a processor, a local dynamic map generated by the ego vehicle to determine schedule data describing a schedule for the ego vehicle to transmit a millimeter wave (mmWave) message to a remote vehicle. The method includes transmitting a V2X message including the schedule data for receipt by the remote vehicle so that the remote vehicle has access to the schedule. The method includes modifying an operation of the V2X radio of the ego vehicle based on the schedule so that the V2X radio transmits the mmWave message to the remote vehicle in compliance with the schedule. The method includes transmitting the mmWave message to the remote vehicle in compliance with the schedule.

Abstract: The method includes: obtaining point cloud information collected by a depth camera, laser information collected by a lidar, and motion information of an unmanned aerial vehicle (UAV); generating a raster map based on the laser information, and obtaining pose information of the UAV based on the motion information; obtaining a map model through fusing the point cloud information, the raster map, and the pose information by a Bayesian fusion method; and correcting a latest map model by feature matching based on a previous map model.

Abstract: A method for ontology matching between a source and a target filters out non-matching pairs of the source and the target, to generate a dataset of possible matches. In a first loop, based on prediction results and uncertainty from a set of labeling functions of a labeling function (LF) committee, a data point is selected from the dataset and an annotation label is obtained for the data point. Additionally, labeling functions of the LF committee are selected and weighted based on prediction results against the dataset provided with annotation labels, and a weight of each of the selected LFs is adjusted to produce the prediction results and uncertainty of yet unlabeled data points of the dataset based on the data points of the dataset having already annotated a label. A second learning loop is executed that creates tuned labeling functions and augments the LF committee with the tuned labeling functions.

Abstract: A computer-implemented method of enforcing secondary data usage control includes providing, via a policy manager, secondary data usage policies of a data owner of original data. The method provides, via a service orchestrator, a description of a service intended to be applied by a data consumer to input data contained in the original data, the service including one or more data processing functions. The method matches, by a secondary usage control policy enforcement point (SUC PEP) component, the secondary data usage policies provided via the policy manager with the input data or specific classes of the input data and/or with data processing functions of the service provided via the service orchestrator. The method applies, by the SUC PEP component, the matched secondary usage policies on the secondary data.