20results about How to "Reduce discontinuity" patented technology

The invention relates to the field of image enhancement, in particular to an image enhancement method and system of a vehicle-mounted image sensor. The method comprises the following steps: acquiring driving record images of a vehicle at multiple angles; dynamic scene self-adaptive exposure adjustment is carried out on the driving record images of the vehicle at the multiple angles, so that multiple self-adaptive exposure driving images are obtained; carrying out deep network noise identification on the plurality of adaptive exposure driving images, and carrying out dynamic filtering and noise reduction on sub-images one by one so as to generate a plurality of filtering and noise reduction optimized images; carrying out image texture analysis on the plurality of exposure sub-images, and carrying out texture distortion reconstruction to construct a plurality of texture reconstruction images; and road object visual identification is carried out on the plurality of texture reconstruction images, and adaptive contrast enhancement processing is carried out, so that a plurality of detail contrast enhancement images are constructed. According to the invention, a high-definition and stable panoramic vehicle-mounted image is realized.

The invention discloses a multi-beam backscattering intensity jump correction method, which takes a multi-beam measurement strip as a unit, automatically detects backscattering intensity jump generated by factors such as equipment parameter setting through a Gaussian weighting function, and selects a moving window to perform difference compensation by using a weighted average value. And carrying out iterative detection on the repaired intensity data and repairing the jump point until the jump point converges to 0. An example calculation result shows that the method can effectively detect and repair the intensity jump in the multi-beam strip, improve the processing efficiency and quality of the backscattering intensity data of the multi-beam strip, and improve the analysis accuracy of the submarine landform of the multi-beam intensity data.

The invention discloses an oscillating water column array fan coupling power generation device capable of adapting to tide level changes, belongs to the field of energy utilization equipment, and solves the problems that in the prior art, the wave energy flow density of partial sea areas is low, and the power generation efficiency of an existing OWC wave energy conversion device is low. According to the technical scheme, an inner cavity is formed in the shared gas chamber; a plurality of oscillating water columns are arranged; each oscillating water column is a hollow tubular column body with openings in two ends, and the opening in one end of each oscillating water column is communicated with the inner cavity of the shared air chamber; and the inner cavity of the shared air chamber is communicated with the power input end of the turbine device. The system has the beneficial effects that multi-element energy utilization is realized, and different natural resources are fully utilized. And the volatility of the power system is reduced. When the output of the wind energy or the wave energy is unstable, the other energy may be in a high-output state, so that the power supply of the system is balanced, and the instability of the power system is reduced.

This invention provides a method and system for reconstructing the full-band electrochemical impedance spectroscopy (EIS) of lithium-ion batteries. The method includes: performing distributed relaxation time (DRT) analysis on each group of battery EIS samples to obtain DRT spectra; aligning the DRT spectra on the logarithmic time constant axis and performing ensemble statistics, selecting peaks and / or valleys that stably appear under multiple operating conditions based on statistical stability, and mapping them to obtain a set of conditionally invariant characteristic frequencies; selecting characteristic frequency points that satisfy the sampling budget from the set of conditionally invariant characteristic frequencies, and performing sparse EIS measurements on the target battery at these characteristic frequency points to obtain sparse complex impedance inputs; generating a full-band complex impedance sequence based on the sparse complex impedance inputs using an autoregressive reconstruction model; and performing battery state estimation and fault diagnosis based on the full-band complex impedance sequence. This invention significantly improves the continuity of the spectral shape and the generalization ability across operating conditions under sparse sampling conditions, while reducing the full-spectrum testing time and sampling burden.

The present application discloses a heterojunction battery and a method for manufacturing the same, and relates to the field of photovoltaic technology. The heterojunction battery includes a first transparent conductive layer, an n-type doped silicon layer, a first intrinsic silicon layer, a silicon wafer layer, a second intrinsic silicon layer, an oxide layer, a p-type doped silicon layer, and a second transparent conductive layer stacked in sequence, and the heterojunction battery also includes a first electrode and a second electrode, the first electrode is arranged in the first transparent conductive layer, and the second electrode is arranged in the second transparent conductive layer, wherein the oxide layer includes a p-type silicon oxide layer, and the thickness of the oxide layer is 0.5~2.5nm. By inserting a p-type silicon oxide layer between the second intrinsic silicon layer and the p-type doped silicon layer, the energy band discontinuity can be reduced and the fill factor of the battery can be improved. At the same time, since a tunneling path is provided, the hole carrier mobility can be improved.

The application provides a spatial target attitude estimation method based on complex domain convolution, and belongs to the technical field of signal processing. The method constructs a multi-scale complex feature pyramid, which includes four feature extraction stages deepening gradually, and each stage is stacked by CRB; the first stage is further embedded with complex spatial attention CSA, and the real part and the imaginary part features are reweighted in the spatial dimension in two channels; the second stage is further embedded with complex channel attention CCA, and the real part and the imaginary part features are reweighted in the channel dimension in two channels. Then, the real part and the imaginary part features are subjected to complex domain adaptive average pooling and feature splicing to form a fusion feature vector containing complete complex information; and an attitude estimation output head estimates three-dimensional attitude angles based on the fusion feature vector. Using the application can solve the technical problems of large estimation error caused by phase information loss and insufficient model generalization ability in traditional ISAR image attitude estimation.

The invention relates to an extinction coefficient inversion method, system and device and a storage medium, and relates to the field of software design. The method is based on an extinction coefficient inversion system comprising an RBF neural network, a micro-pulse laser radar and a high-energy Raman laser radar. The method comprises the steps that the micro-pulse laser radar and the high-energy Raman laser radar synchronously observe and collect training data; preprocessing the micro-pulse laser radar data to obtain a preprocessed echo signal; preprocessing the Raman laser radar data and obtaining extinction coefficient data by using a Raman laser radar inversion algorithm; training an RBF neural network by using the preprocessed echo signal and the extinction coefficient data to obtain an RBF neural network model; and when an actual echo signal collected by the micro-pulse laser radar is received, performing preprocessing to obtain a target echo signal, and performing prediction inversion on the target echo signal by using the trained RBF neural network model to obtain an extinction coefficient. The technical effect of the invention is to provide a more accurate extinction coefficient inversion result.

The invention relates to the technical field of welding devices, in particular to a clamp for welding a ladder truck movable platform, which comprises a workbench, an assembling groove is formed in the upper end of the workbench, a fence main body is arranged on the inner side of the assembling groove, and mounting plates are fixedly connected to the positions, close to the two sides, of the upper end of the workbench; air cylinders are installed on the sides, away from each other, of the two sets of mounting plates, clamping mechanisms are installed on the sides, close to each other, of the two sets of mounting plates, each clamping mechanism comprises a clamping plate, grinding mechanisms are installed on the sides, close to each other, of the two sets of clamping plates, and through mutual cooperation of the air cylinders and arc-shaped clamping rings, grinding is conducted on the grinding mechanisms; the arc edges on the two sides of the fence body and the bottom plate body can be limited, deviation in the welding process is avoided, the welding process is more stable, a first gear and clamping teeth are matched with each other, a welding head can be made to be attached to welding seams of the arc edges all the time and conduct welding, additional angle adjusting and horizontal moving of the welding head are avoided, and the welding process is more efficient.

A light emitting module for a vehicle includes a light source configured to generate light during its operation, a condensing lens located at a front side of the light source in a direction in which light generated by the light source propagates, and configured to change a propagation direction of the input light, and a multi-faceted lens located at a front side of the condensing lens in the direction in which the light generated by the light source propagates, and including a back surface through which the light passing through the condensing lens is input, and a plurality of portions whose front surfaces have different protrusion heights.

Intraocular lenses for reducing Negative dysphotopsia (ND) are described herein. An example ophthalmic lens can include an optic with a central optical zone disposed about the optical axis and an attenuation optical zone disposed about the central optical zone, wherein the attenuation optical zone is contiguous with the central optical zone, and wherein optical power of the ophthalmic lens is gradually reduced within the attenuation optical zone.

The invention provides a continuous blood glucose monitoring signal denoising method based on a two-factor layered adaptive wavelet threshold. The method comprises the following steps: firstly, performing discrete wavelet decomposition on an original noisy blood glucose signal; then, on the basis of noise characteristics of each scale, independently designing a threshold value for each layer of decomposition by adopting a hierarchical adaptive strategy; further, a novel two-factor nonlinear threshold function is introduced to perform contraction processing on the wavelet coefficient, a smooth transition factor controls function continuity near a threshold boundary to suppress a reconstruction ringing effect, and an amplitude retention factor adjusts the attenuation degree of a large-scale wavelet coefficient to retain key physiological features such as rapid change of blood glucose; and finally, reconstructing the de-noised signal through wavelet inverse transformation. According to the method, measurement noise and baseline drift are effectively suppressed, meanwhile, the fidelity capability of dynamic characteristics such as a blood glucose trend turning point is remarkably improved, and the inherent contradiction between excessive smoothness and noise residue in a traditional wavelet threshold method is relieved.

An audio signal processing device comprises a discontinuity detector configured to determine an occurrence of a discontinuity from a sudden increase of an amplitude of decoded audio obtained by decoding the first audio packet which is received correctly after an occurrence of a packet loss, and a discontinuity corrector for correcting the discontinuity of the decoded audio.

The application discloses a kind of based on semantic communication's thing networking data compression transmission method, it is related to data compression technical field, the method includes: step S1: obtaining original data block, record mutation mark in mutation data block;Step S2: construct semantic encoding model to output semantic feature vector and semantic code stream, reconstruct by decoding to obtain reconstructed data block;Step S3: calculate the residual amount of data block, calculate the quantization step of residual compensation code stream, to the cloud to obtain reconstructed data block;Step S4: using residual compensation amount and reconstructed data block obtains modified reconstruction block, completes data compression correction by splicing.The present application calculates residual compensation code stream to mutation data block, and adaptively adjusts feature dimension and quantization step, reconstructs data block according to time sequence splicing, avoids the distortion caused by traditional frequency domain truncation, has the advantages of guaranteeing thing networking terminal sequence reconstruction accuracy and the beneficial effects of significantly improving the correction accuracy of peak region.

The present invention relates to the technical field of fiber material production, and in particular to a continuous opening and combing device for polylactic acid long fibers. It comprises a feed roller frame, which is provided with a group of feed roller frames, all of which are arranged on the front side of a machine base, and upper and lower symmetrical feeding rollers and cotton feeding rollers are also rotatably arranged between the two sides of the machine base, and the surfaces of the feeding rollers and cotton feeding rollers are provided with needle clothing; a combing mechanism is arranged on the guide roller frame for flattening and combing operations of long fibers. The present invention realizes an integrated process of long fiber opening and combing operations through the opening treatment of the feeding roller and the cotton feeding roller, the fine combing of the needle roller, the smoothing treatment of the toggle plate, and the leveling treatment of the flattening roller frame, so as to form a coherent operation with the long fibers, reduce the occurrence of accumulation and discontinuity problems, and ensure that the produced quilt can be in a good and smooth arrangement state, thereby improving the overall quality of the quilt and improving the comprehensive performance of the final product.

The invention relates to the technical field of radar detection, in particular to a visibility fusion inversion method based on a cloud radar and a laser radar, and the method comprises the steps: obtaining the equivalent reflectivity factor of the cloud radar, the backscattering echo power of the laser radar and the temperature and humidity data of a ground meteorological station, carrying out the space-time matching of multi-source data, defining the boundary of a near-field common-view area, and carrying out the calculation of the near-field common-view area. Carrying out inversion to obtain a laser radar extinction coefficient in the near-field common-view area; based on the laser radar extinction coefficient in the near-field common-view area and the cloud radar equivalent reflectivity factor in the near-field common-view area, combining the temperature and humidity data to solve a dual-band atmospheric droplet spectrum equivalent constraint factor; reconstructing to obtain a full-scale liquid water content profile based on the dual-band atmospheric droplet spectrum equivalent constraint factor and a full-scale cloud radar equivalent reflectivity factor; and based on the full-scale liquid water content profile, reversely reconstructing a full-scale equivalent extinction coefficient, and carrying out inversion to obtain a full-scale visibility profile.

The invention relates to an antenna feed structure, a base station antenna device and a base station. The antenna feed structure comprises a cavity module and a feed module, the cavity module is provided with a first cavity and a second cavity, and a partition wall is arranged between the first cavity and the second cavity; the feed module comprises a first feed network located in the first cavity, the first feed network is provided with a first signal line, the first signal line comprises a first main body section and a first bent section, one end of the first bent section is connected with one end of the first main body section, and the first bent section is bent towards the partition wall relative to the first main body section; the second feed network is located in the second cavity, and the second feed network is provided with a second signal line; and the adapter penetrates through the partition wall, one end of the adapter is located in the first cavity and connected with the first bent section, and the other end of the adapter is located in the second cavity and connected with the second signal line. The antenna feed structure can weaken the discontinuity when signals are transmitted between the first feed network and the second feed network in two different cavities.

This invention discloses an adaptive transmission method for trunked intercom based on wireless local area networks (WLANs), comprising the following steps: collecting link-state and service-state indicators to form a state vector; calculating the carrying window and delay budget using sliding window statistics and exponential weighting, generating a resource profile including congestion and risk levels; layering voice frames and labeling key frames with the latest delivery timestamp; selecting representative terminals for group clustering based on access point identifier, channel, and link quality; and generating transmission parameters by calling an improved BBRv3 under resource profile constraints in the unicast pipeline; prioritizing the transmission of key frame copies, aggregating completion summaries, determining majority completion, and retransmitting missing key frames with targeted compensation and updating completion; switching the distribution mode and performing gray-scale rollback when delay exceeds limits, busy-occupancy surges, or roaming occurs; recording indicator and parameter versions, establishing a template library through scenario fingerprint matching, and storing versioned data. This invention improves the reliability of key voice delivery and reduces the risk of delay jitter and packet loss under congestion and roaming conditions.

The application provides a flow matching reinforcement learning method for humanoid robot jumping control, and the method comprises the following steps: obtaining training samples comprising task instructions, color images, depth images, body states and future joint action blocks; respectively encoding and mapping each mode to a unified hidden space to splice a joint condition tensor; using an action expert network to predict the velocity field of the noise action block to the real action block, and performing flow matching pre-training based on joint-level physical weight, phase sampling, action smoothing and modal balance constraint; further training the joint action block as a macro action in a physical simulation closed loop, obtaining joint log-likelihood through random reparameterization, and performing proximal policy optimization after training. The application can improve the visual contact ability, closed loop stability and action smoothness of the humanoid robot jumping action generation, and reduce the distribution deviation between offline pre-training and actual execution.

The application discloses a composite material fracture energy calculation method considering reinforcement-matrix interface dispersion, and comprises the following steps: S1, a matrix crack fracture energy model is established; S2, a reinforcement-matrix interface fracture energy model is established; S3, a composite material fracture control equation model is established; S4, a composite material critical energy release rate is modified; S5, the interface phase field, the displacement field and the crack phase field in the composite material fracture control equation are discretized by using the finite element method, and an incremental iteration is carried out, so that the crack propagation in the composite material considering the interface dispersion is calculated. Through the adoption of the phase field model, the advantages of realizing the micro-to-macro multi-scale simulation are utilized, the properties of the interface in the composite material are associated with the properties of the matrix, that is, the interface crack propagation and other fracture properties of the composite material under the action of the load are dispersed to the surrounding matrix in the form of a continuous exponential function, and a mechanical model for more accurately predicting the mechanical behavior and fracture evolution of the composite material is established.

The application discloses a processing method of precipitation data applied to a flood disaster model in the technical field of data processing and a related device. In the method, original precipitation data is acquired; data integration is performed on the original precipitation data to obtain matrix data including spatial dimensions and time dimensions; data cleaning is performed on the matrix data to obtain to-be-converted precipitation data; and the to-be-converted precipitation data is converted into precipitation data conforming to a normal distribution. The precipitation data conforming to the normal distribution is used for being processed by the flood disaster model. The data quality of the precipitation data obtained after the processing is higher. The precipitation data conforming to the normal distribution can reduce the non-continuity of the rainfall data and the adverse influence of rainless days on the simulation of the flood disaster model, facilitate the analysis and processing of the precipitation data by the flood disaster model, and thus more accurate simulation results of the flood disaster model are obtained, and the simulation accuracy of the flood disaster is improved.