Abstract: The present invention discloses a capacitor manufacturing process capable of controlling capacitor resistance and without welding a tin-copper conductive sheet. The manufacturing process includes the following working steps: (1) electroplating, involving: electroplating a capacitor base layer, for being compatible with different metal materials; (2) vacuum plating, involving: vacuum plating a metal layer, for being compatible with different metal materials and non-metal materials; and (3) electroplating, involving: electroplating a metal outer layer, for reducing a capacitor resistance value and further controlling the capacitor resistance to be less than 3 milliohms. The beneficial effects of the present invention lie in that: by adopting a process, different metal materials and non-metal materials can be directly combined at the same time, and a capacitor can be directly welded onto a circuit board so as to meet the use requirements.

Abstract: The present application belongs to the technical field of batteries, and particularly relates to a secondary battery. The secondary battery provided by the present application comprises a positive electrode plate, a negative electrode plate and electrolyte, wherein the electrolyte comprises an organic solvent, and the organic solvent comprises a cyclic ester solvent and a chain ester solvent; the secondary battery parameter satisfies Formula (1). The secondary battery has good dynamic performance at low temperature, and has good capacity retention rate and lower impedance under the low temperature condition by adjusting the electrolyte and the negative electrode plate and the combined action of the electrolyte and the negative electrode plate.

Abstract: The present application discloses an indoor optical wireless communications-oriented general geometry-based stochastic channel modeling method, which belongs to the field of wireless communication channel modeling. The method includes: setting scenario layout and frequency band related parameters; generating an object reflection cluster birth-death process matrix and random numbers for controlling a blocking effect and propagation component classification; initializing a scattering cluster and intra-cluster scatterers; updating and calculating model parameters varying with space and time; calculating a light source radiation intensity, the power distributions of object reflection and particle scattering, and an equivalent reflection coefficient; and calculating a subchannel impulse response, and determining whether a propagation component exists, to generate a final channel impulse response.

Abstract: A satellite communication-oriented geometry-based stochastic channel modeling method includes steps: S1: establishing a satellite channel simulation scenario, and setting scenario layout parameters; S2: initializing the trajectory and speed of a satellite and a receiving end; S3: calculating spatially consistent large-scale parameters, and calculating an effect of rainfall on the large-scale parameters; S4: calculating a path loss, a shadow fading, an atmospheric absorption, and a rainfall attenuation; S5: initializing the central positions of a cluster and a scatterer, and calculating the delay, angle and power of the cluster according to the geometric position information of the transmitting and receiving ends and the scatterer, to generate a channel coefficient; S6: updating the large-scale and small-scale parameters according to the movement of the transmitting and receiving ends and the birth-death process of the cluster, to generate a new channel coefficient; and S7: deriving the statistical characteris

Abstract: The present disclosure discloses a geometry-based stochastic channel modeling method oriented to a wireless communication in an underground mine. The geometry-based stochastic channel modeling method generates basic parameters such as an environment and antennas; generates a three-dimensional time-varying twin-cluster channel environment, that is, a number, a distance and an angle distribution of the clusters, and the like; derives channel parameters such as a position distribution of scatterers, and a power distribution of the scatterers in the clusters; introduces a roughness of a wall and characterizes an influence caused by the rough wall from two aspects of a phase variation and an energy attenuation according to angle parameters, calculates a time-varying channel impulse response and a channel matrix, and implements a simulation channel model and analyzes a statistical characteristic of a channel.

Abstract: The present disclosure discloses a method for predicting a channel based on an image processing and a machine learning, which belongs to the field of the channel prediction. The method introduces an image semantic segmentation technology to identify and segment a scatterer in a scenario image, extracts the effective position information of the scatterer, and identify a scenario in the segmented image. The subsequent feature extraction is performed in a similar scenario through the scenario identification, which facilitates extracting the more tiny environment features. The semantic segmentation images of the known scenarios are jointly input into a feature extraction and channel prediction network to complete the channel prediction.

Abstract: A method for estimating a beam domain channel in a spatial non-stationary massive MIMO system includes constructing a beam domain channel model for the spatial non-stationary massive MIMO system by using a visibility region; transforming a problem for estimating the beam domain channel into a problem for reconstructing a sparse channel based on a sparsity of beam domain channel and an influence of power leakage; proposing a beam domain structure-based sparsity adaptive matching pursuit scheme according to a cross-block sparse structure and a power ratio threshold of the beam domain channel; and verifying that the proposed scheme has a lower pilot overhead, a higher accuracy and a higher effectiveness compared to the traditional schemes in simulation results. The method can be effectively applied to communication channel estimation with non-stationary characteristics, and has obvious advantages in estimation accuracy and complexity.

Abstract: A method for estimating channel parameters of a reconfigurable intelligent surface based on a spherical wave assumption includes the following steps. In Step 1, a signal transmission model of a RIS-assisted near-field communication is constructed based on the spherical wave assumption; in Step 2, channel measurement data in different RIS transmission modes are obtained; in Step 3, a delay, an angle of arrival, an angle of departure, a Doppler shift and a polarization matrix of multipath in channels are estimated based on a space-alternating generalized expectation maximization algorithm, and angle parameters, distance parameters and coupling polarization matrices of the multipath at a RIS end are estimated based on a maximum likelihood principle; and in Step 4, the estimated parameters are updated and iterated subsequently. The method can estimate all important channel parameters in the RIS-assisted near-field communication scenario more accurately.

Abstract: A method for designing a time-domain non-stationary V2V MIMO communication channel emulator includes determining basic parameters for the V2V MIMO communication channel; generating a V2V 2D time-domain non-stationary communication channel environment, by using a MATLAB, that is, the numbers of the scatterers and the positions of the scatterers and the like; importing parameters generated in the previous step into a hardware simulation platform to calculate communication channel parameters for clusters, such as an angle distribution and a power distribution, writing a Verilog code for running, and eventually calculating to obtain a channel impulse response of the time-domain non-stationary V2V MIMO communication channel; and comparing with a statistical characteristic of a theoretical communication channel model, and designing an appropriate hardware diagram of a communication channel emulator.

Abstract: A novel scatterer density-based predictive channel modeling method includes: obtaining channel data with different scenarios scatterer densities through a channel measurement or a simulation; obtaining corresponding channel statistical characteristic parameters through a data preprocessing based on the channel data; constructing a graph dataset by taking scatterer density in different scenarios as main characteristics to enhance a space-time correlation of data; dividing the graph dataset according to a certain proportion, and then using a graph attention network and a gated recurrent unit network to extract correlated channel space-time characteristics and implementing a cross scenario channel prediction. The method can capture channel variations in different scenarios, and obtain channel characteristics under different scatterer densities through high space-time correlated channel characteristics, and has good performance in channel prediction based on scenario.

Abstract: Disclosed by the present disclosure is a geometry-based stochastic channel modeling method for an IIoT channel.

Abstract: The present disclosure discloses a beam domain channel modeling method for an orbital angular momentum wireless communication. The method comprises: 1) establishing a geometry-based stochastic model and considering a near-field effect and a mutual coupling; 2) deriving a beam sampling matrix by utilizing a beamforming matrix, and establishing a beam domain channel model under a spatial multiplexing; and 3) implementing a simulation channel model based on a channel transfer function, and deriving and analyzing channel statistical properties.

Abstract: An air fryer for air-frying a food includes a main body having an air frying chamber for receiving a food therein, an air circulation device disposed in the main body for guiding an air flow into the air frying chamber of the main body, and an air heater which includes a heating coil detachably coupled at the main body for heating the air flow to form a hot air in the air frying chamber so as to air-fry the food therein.

Abstract: Disclosed is a novel integrated sensing and communication channel modeling method combining forward scattering and backward scattering.

Abstract: Disclosed in the present disclosure is an uplink and downlink asymmetric channel model parameter generating method. According to a modeling method, uplink and downlink channel transmission matrices can be generated at the same time when an asymmetric transceiving antenna configuration is used in an uplink and a downlink. In the method, firstly, parameters of a propagation channel between antennas are generated by using a geometric stochastic modeling method according to environmental parameters. Then an antenna pattern is introduced to calculate effective scatterers and corresponding effective paths of the uplink and the downlink. Finally, channel impulse responses of the uplink and the downlink are obtained. The method can be applied to the simulation and optimization of actual asymmetric communication systems.

Abstract: A method for calculating the spatial non-stationary wireless channel capacity for large-scale antenna array communications, includes the following steps: first, constructing a spatial non-stationary channel model with a large-scale antenna array having the mutual coupling effect; building a channel measurement system for the large-scale antenna array, and obtaining measurement data; next, optimizing parameters of the channel model, and simulating the spatial cross-correlation function, then calculating the spatial stationary interval and calculating the channel capacity within the interval and the total channel capacity; and finally comparing simulation results with measurement results, to verify the correctness of the calculation method.

Abstract: Disclosed by the present invention are an SIRT6 small-molecule allosteric activator and the application thereof and provided is an SIRT6 small-molecule allosteric activator that contains a derivative as shown in formula (1) or a pharmacologically acceptable salt thereof as the active ingredient. The SIRT6 small-molecule allosteric activator designed and synthesized in the present invention has high efficacy and low toxicity, may significantly activate SIRT6 activity during in vitro experiments, and has great importance in the development of pharmaceuticals for relevant diseases.

Abstract: A 6G pervasive channel modeling method includes the following steps: S1, setting a propagation scenario and a propagation condition, and determining a carrier frequency, an antenna type, a layout of a transmitting end and a receiving end, and the like; S2, generating large-scale fadings such as path loss, shadowing and blocking effect loss; S3, generating large-scale parameters having spatial consistency; S4, generating scatterer positions in ellipsoid Gaussian scattering distribution, and calculating a delay, an angle and a power of a cluster according to the positions of the transmitting end, the receiving end and the scatterers to generate a channel coefficient, and S5, on the basis of movements of the transmitting end and the receiving end and a birth-death process of each cluster, updating the large scale parameters and small-scale parameters, and generating a new channel coefficient.

Abstract: Disclosed in the present disclosure is a ray tracing channel modeling method for reconfigurable intelligent surface wireless communication. The method comprises: setting an application scene; implementing RIS deployment and adjustment mode; analyzing a received power distribution of a non-line-of-sight scene; analyzing an angle power spectral density; and specifically analyzing the change of a channel capacity with the change of a transmitting power, a RIS unit number and a RIS deployment position. In the present disclosure, a RIS channel deterministic model based on ray tracing can be used for a static ray tracing simulation software, the deployment of any scale of a reconfigurable intelligent surface at any position in a scene is supported, the ray tracing modeling method of the reconfigurable intelligent surface is enriched, and the channel characteristic analysis of the simulation result has guiding significance for the application and deployment of RIS in indoor scenes.

Abstract: Disclosed in the present disclosure is a predictive channel modeling method based on a generative adversarial network and a long short-term memory artificial neural network, which method effectively achieves a channel prediction function in different frequency bands and scenarios, and generates a large number of channel data sets for simulation experiments.