53results about How to "Avoid performance loss" patented technology

The invention relates to a server application architecture migration method and device and a storage medium, and the method comprises the steps that an automatic detection module analyzes and checks a to-be-migrated application under an X86 architecture, and the to-be-migrated application is subjected to static code analysis, dynamic performance analysis and system compatibility check; according to analysis and check results of the automatic detection module, the automatic adjustment module replaces an X86 specific instruction and a library function, performs memory allocation optimization and memory mapping adjustment, and generates an automatic adjustment report; and the automatic optimization module executes a performance benchmark test, and executes memory access optimization, algorithm optimization, task scheduling optimization and multi-core parallelization adjustment according to a test result. According to the server application architecture migration method and device and the storage medium, the architecture adaptation process can be simplified, performance optimization support and automatic dependency relationship management can be provided, the migration efficiency can be improved, and the cost can be reduced.

The invention provides a data processing method and device, a computer program product, equipment and a medium, and the method comprises the steps: obtaining to-be-processed data, and inputting the to-be-processed data into a data processing model, the data processing model comprises an interference gating module constructed based on an interferometer, an interference fine tuning module, and a plurality of diffraction expert modules constructed based on sub-wavelength units; determining one or more data flow direction objects matched with the to-be-processed data according to an interference gating module in the data processing model; according to a diffraction expert module matched with the data flow direction object in the data processing model, performing data processing on the to-be-processed data to generate a first processing result; and processing the first processing result according to an interference fine tuning module in the data processing model to output a target processing result. On the basis of an interference-diffraction model architecture, all data processing steps are completed on an optical calculation device, and performance loss caused by frequent photoelectric conversion / digital-to-analog conversion is avoided, so that the overall data processing speed is increased.

The invention relates to the technical field of battery gradient classification, in particular to a battery gradient classification identification method and system and a storage medium. The method comprises the following steps: carrying out dynamic workload log collection on a new energy automobile battery pack, and carrying out connection node load power consumption extraction to obtain connection node load power consumption data; theoretical load temperature fluctuation simulation is carried out on the connection node load power consumption data, and environmental influence effect analysis is carried out to obtain load environmental influence effect data; node output power consumption loss quantification is carried out according to load environment influence effect data, then performance output attenuation gradient analysis is carried out on connection node load power consumption data, a battery performance gradient classification and recognition model is constructed, then automatic firmware design is carried out, and battery performance gradient classification and recognition firmware is obtained. According to the method, the battery gradient classification technology is optimized, so that the battery gradient classification technology is more perfect.

The invention discloses an airborne radar moving target detection method and system based on distance-Doppler characteristics, and the method comprises the steps: building an airborne pulse Doppler radar echo signal model, and generating a large number of echo signals through simulation; performing pulse compression processing and frequency domain filtering processing on the machine echo signal to obtain a two-dimensional distance-Doppler image; processing the two-dimensional distance-Doppler image to obtain a processed distance-Doppler image; a generalized target is defined, the generalized target is marked on the processed distance-Doppler image, and a marked data set is generated; training a deep neural network model by using the labeled data set to obtain a trained deep neural network model; and by using the trained deep neural network model, target detection is performed on an actual airborne pulse Doppler radar distance-Doppler image, so that the working performance of an airborne radar system under clutter and interference conditions is greatly improved, and the minimum detectable speed limitation of the system is broken through.

The invention discloses a low-noise harmonic suppression radio frequency system for filter band control. The low-noise harmonic suppression radio frequency system comprises a Chebyshev low-pass frequency hopping filter, a power element parameter control module, a harmonic suppression module and a low-noise amplifier, wherein the Chebyshev low-pass frequency hopping filter comprises a plurality of power elements; an external radio frequency signal is used as the input of the Chebyshev low-pass frequency hopping filter, and the output end of the external radio frequency signal is connected with the input end of the harmonic suppression module; the power element parameter control module is connected with a power element of the Chebyshev low-pass frequency hopping filter through a multiplexer switch; the input end of the harmonic suppression module is connected with the output end of the Chebyshev low-pass frequency hopping filter; the low noise amplifier is connected with the output end of the harmonic suppression module; the input end of the low-noise amplifier is connected with the output end of the harmonic suppression module. Through cooperative work of the modules, radio frequency signals can be efficiently processed, and the targets of frequency band control, harmonic suppression and noise suppression are achieved.

The invention discloses a preparation method of a BAW device based on a novel sacrificial layer technology, and the preparation method employs ZnO as the material of a sacrificial layer, employs a diluted hydrochloric acid solution as an etchant solution, can prevent the diluted hydrochloric acid solution from corroding an insulating layer and a dielectric layer while completely corroding ZnO, and obtains a high-performance BAW device. And meanwhile, on-chip integration with other passive devices is realized. According to the invention, ZnO is adopted as the sacrificial layer, and the sacrificial layer has the same wurtzite structure as the piezoelectric layer, so that the sacrificial layer can be used for inducing grain arrangement of the first electrode of the piezoelectric oscillation stack, and preferred orientation growth of the first electrode film is facilitated, so that preferred orientation growth of the piezoelectric layer film is further realized, and the piezoelectric layer film has relatively good piezoelectric performance. According to the invention, SiO2 is used as a passivation protection layer and an insulating layer, so that the function of the passivation protection layer and the insulating layer is achieved, and the function of temperature compensation can be additionally realized at the same time.

This invention discloses a data synchronization method and system based on front-end orchestration management, belonging to the field of data synchronization. The method includes the following steps: selecting the data table and field information to be monitored through the front-end interface, generating configuration information, and orchestrating the synchronization process logic according to business needs; storing the configuration information in real time to the configuration center to generate real-time monitoring rules; capturing changed data of the data table and field information, encapsulating it into standard data units and sending it to a message queue; preprocessing the standard data units in the message queue; the synchronization adaptation module matching the corresponding driver type according to the synchronization process logic to generate a synchronization instruction set, and executing data synchronization operations based on the preprocessing results; performing full-link monitoring of the synchronization process, and performing task lifecycle management based on the lifecycle rules configured on the front end. This invention improves synchronization efficiency through dynamic threshold verification, multi-source field fusion weighting, and dynamic encryption strategies, and the full-link monitoring further enhances front-end manageability.

The present invention provides an improved function beamforming method and related devices, which are related to sound source identification based on a microphone array. By establishing an array signal receiving model; calculating the FB output according to the array signal receiving model; calculating the PSF matrix of power-raising space transfer invariance according to the array signal receiving model; determining the spatial convolution information according to the FB output and the PSF matrix; transforming the spatial convolution information into a wave number domain product through FFT operation under periodic boundary conditions; constructing a difference function according to the wave number domain product and the FB output; calculating the difference function through a fast iterative shrinkage threshold method, solving the wave number leakage problem caused by the zero-filled boundary, improving the calculation accuracy, and further improving the imaging performance; sharpening the main lobe of the point spread function through exponential operation, and expanding the applicability of the assumption of spatial transfer invariance of the point spread function. Improve the imaging spatial resolution and dynamic range, and expand the effective imaging area. A technical effect of avoiding performance loss in the process of sound source identification is achieved.

The present application relates to an unknown audio event recognition algorithm based on a pulse neural network, which includes the following steps: constructing an audio data set and splitting it into a training set, a validation set, and a test set; preprocessing each audio data segment in the audio data set to generate a 3D log‑mel spectrogram; constructing a pulse neural network model and performing classification training; using cross entropy loss and contrast loss to jointly train the pulse neural network model; using audio data of known categories in the validation set to input into the pulse neural network and the autoencoder to obtain a threshold for distinguishing known categories from unknown audio categories; using the trained pulse neural network model to recognize the collected audio data. The present invention can effectively identify and distinguish unknown sound events without relying on pre-labeled unknown category information, improve the overall recognition accuracy of the system, and provide support for subsequent unknown sound event analysis and processing.

The present application relates to a shared memory application method, device, equipment and computer program product. The method comprises: obtaining the size of the communication data of the thread; obtaining the size of the independent shared memory when the thread has been allocated an independent shared memory; obtaining the size of each type of pre-configured storage space when the size of the independent shared memory is smaller than the size of the communication data; and allocating a corresponding type of storage space to the communication data based on the size of the communication data and the size of each type of storage space. The use of this method can improve processing efficiency.

The utility model discloses a sander capable of automatically adjusting the height of a thickness determining roller. The sander comprises a main transmission roller, shaft bodies are arranged at the two ends of the thickness fixing roller; the abrasive belt is wound on the thickness fixing roller and the main transmission roller; the driving motor drives the main transmission roller to rotate; the height adjusting module comprises two groups of worm and gear assemblies which are respectively arranged at the two ends of the thickness determining roller, and comprises eccentric worm gears which are arranged on the outer side of the shaft body in a sleeving manner and are rotationally connected with the shaft body; the adjusting worm is meshed with the eccentric worm gear; the driving module is in transmission connection with one worm and gear assembly; the linkage mechanism is connected between the two worm and gear assemblies; the current detection element detects the current of the driving motor to generate a current signal; and the PLC is used for receiving the current signal of the current detection element and controlling the driving module to act according to the current signal. According to the sanding machine capable of automatically adjusting the height of the fixed thickness roller, the height of the fixed thickness roller is automatically adjusted, and the problem of low efficiency caused by frequent shutdown is solved.

The utility model discloses a kind of amorphous alloy three-dimensional roll iron core annealing monitoring models, comprising: support, amorphous alloy three-dimensional roll iron core, high voltage coil, low voltage coil, insulating iron hoop, ac frequency modulation power supply, magnetized busbar and power analyzer, high voltage coil and low voltage coil are set in the upper yoke portion of amorphous alloy three-dimensional roll iron core;Insulating iron hoop is used to fix amorphous alloy three-dimensional roll iron core;Magnetized busbar is supported by insulating support plate and placed in the inner frame of the iron core;Ac frequency modulation power supply is electrically connected with high voltage coil;Voltage clamp and current clamp are electrically connected with low voltage coil respectively;Power analyzer is electrically connected with the voltage clamp and current clamp.

The invention relates to an inductance-pass integrated hybrid beam forming method based on a one-bit digital-to-analog converter. The method comprises the following steps: designing an analog precoder and a one-bit digital-to-analog converter quantized signal passing through a digital precoder based on a trade-off optimization problem between radar and communication performance; a transmitting beam vector is designed according to the designed analog precoder and the quantized signal of the one-bit digital-to-analog converter, an optimization expression of the transmitting beam vector is solved, and an optimal transmitting beam vector is obtained; and designing an optimization problem of quantized signals of the analog precoder and the one-bit digital-to-analog converter according to the optimal transmitting beam vector, solving the optimization problem by using a Matlab toolbox and a BTSA-GA algorithm, and generating the sensing and communication integrated hybrid beam according to the optimized quantized signals of the analog precoder and the one-bit digital-to-analog converter. By adopting the method, the complexity and the power consumption of the large-scale MIMO system can be reduced.

The invention discloses application of monofunctional isocyanate in surface blocking modification of PA66 industrial yarn, and belongs to the technical field of polyamide fibers. Aiming at the problems of high hydrolytic sensitivity and poor long-term stability of PA66 in a humid environment, monofunctional isocyanate can react with an amino-terminated group on the outermost layer of the PA66 fiber to form an alkyl / aryl urea terminated structure, a formed urea bond is more resistant to hydrolysis than an amido bond, and a monofunctional design ensures that a body type cross-linked network is not formed, so that the service life of the PA66 fiber is prolonged, and the service life of the PA66 fiber is prolonged. The modification reaction is limited to occur only on the surface layer, performance loss caused by internal modification can be avoided, the strength retention rate of the obtained surface-terminated modified PA66 industrial yarn in a high-damp-heat environment is high, the industrial application requirement for long-term durability is met, and the application prospect is wide. Therefore, the composite material has a good application prospect in preparation of radial tire cord fabrics, automobile safety belts, industrial conveying belts or high-pressure rubber hose reinforcing layers.

The invention discloses a PS ratio control system and method for optimizing SWIPT multi-hop relay throughput, the system comprises a source node, the source node forwards information to a destination node hop by hop through a relay set, and the source node is powered by an internal battery or an external power supply; the relays all work in a passive state; energy is collected from a radio frequency signal of a previous hop adjacent node of the relay node by adopting an SWIPT technology, and decoding of a data packet and forwarding of the data packet to a next hop adjacent node are completed at the same time by utilizing a power distribution (PS) protocol; the power distribution ratio, namely the PS ratio, is set as follows: the radio frequency signal at the relay node is divided into two paths, one part is used for energy collection, and the other part is used for information decoding.

The application discloses an abrasion-resistant coating for inhibiting growth of hydrate and a preparation method thereof, and belongs to the technical field of oil and natural gas transportation. The preparation method comprises the following steps: treating copper powder and graphene powder by adopting a ball milling method to obtain graphene / copper composite powder; preparing a graphene / copper porous coating on the surface of a base body by adopting a cold spraying method; modifying the surface of the graphene / copper porous coating by adopting an anodic oxidation method to obtain a coating with Cu2O / CuO composite oxides with nanometer strips on the surface; and performing impregnation treatment on the coating with Cu2O / CuO composite oxides with nanometer strips on the surface by adopting a low-surface-energy substance to obtain the abrasion-resistant coating for inhibiting growth of hydrate.

The invention provides a cloud computing virtual machine scheduling algorithm suitable for railway communication cloud, and aims to solve the defects of an existing scheduling algorithm in processing the requirements of high real-time performance and high security in a railway communication system. According to the algorithm, accurate scheduling is performed based on the model and bandwidth attribute of the PCI network card, so that the virtual machine can directly access the physical network card to reduce delay and improve the data transmission rate. And meanwhile, the algorithm realizes network isolation between the virtual machines through physical switch configuration, so that the security of the system is guaranteed. When virtual machines are created in batches, the scheduling algorithm can schedule physical server nodes meeting topology requirements in batches according to a network topology structure defined by a user, and correct connection between the virtual machines and the network topology is ensured. Through the algorithm, the railway communication system can meet the requirements for low delay, high bandwidth, security isolation and batch scheduling in a complex network environment, and the efficiency and flexibility of virtual machine scheduling are remarkably improved.

The invention relates to the technical field of intelligent digital operation, and discloses an enterprise digital operation application aggregation platform based on SAAS software, and the platform comprises a registration authentication module which is used for carrying out account registration and operation subject authentication management; the payment acquisition module is used for transaction acquisition, product management, transaction risk assessment, transaction data encryption and fund clearing; the data statistics module is used for collecting, monitoring and counting the operation data in real time; the operation management module is used for managing orders before and after sales of products; and the message reminding module is used for reminding the system message and the transaction message. According to the invention, the transaction data can be encrypted in a targeted manner, the transaction security and the system performance are both considered, the transaction security is improved, the resource utilization rate is improved, and the performance loss is reduced.

The invention provides a web front-end big data performance management optimization method and a web front-end big data performance management optimization system, which are applied to the field of computer systems based on a specific web calculation model. According to the system, a Vue2 framework optimization scheme is adopted, on one hand, through non-response type data binding, a Vue response type system is abandoned, interlayer data is manually synchronized through event monitoring, and performance loss caused by large-scale response type data is avoided; on the other hand, by setting virtual rolling optimization superior to that in the prior art, on-demand rendering of dynamic form items is achieved, and the number of nodes is reduced. And on the other hand, by reasonably setting big data processing memory management and utilizing static data binding and component lightweight design, memory occupation during rolling is reduced, and browser memory recovery efficiency is improved. Therefore, the system can solve the performance problem of a large dynamic form page based on inter-layer collaboration and multiple inventive concept collaboration superior to the prior art, the front-end big data informatization development efficiency is improved, and the code maintainability and reconfigurable capability are improved.

The embodiment of the utility model provides an energy storage cabinet. Comprising an energy storage device, a power conversion device and a heat management device, the heat management device communicates with the energy storage device and the power conversion device, and the heat management device comprises a first loop unit, a second loop unit and a phase change heat storage unit; cooling liquid circulates in the first heat exchange pipeline and the second heat exchange pipeline, and the first heat exchange pipeline and the second heat exchange pipeline are mutually independent. The phase change heat storage unit is connected with one of the first heat exchange pipeline and the second heat exchange pipeline in series and connected with the other one of the first heat exchange pipeline and the second heat exchange pipeline in parallel. Through the arrangement of the thermal management device, the risks of overheating and thermal runaway of the battery can be reduced, battery performance reduction caused by too high temperature is reduced, the service life of the battery is prolonged, and the overall energy efficiency of the energy storage cabinet is improved. The heat management device absorbs and releases heat in the phase change process through the phase change heat storage unit, the temperature of the energy storage device and the temperature of the electric power conversion device are balanced, and therefore the heat management efficiency is improved.

This invention discloses a secure encryption method for the operating system kernel based on the AES algorithm, relating to the fields of operating system security and data encryption technology. The method comprises the following steps: S1, traversing and scanning the data in the operating system kernel, identifying sensitive data, and classifying it according to its sensitivity level; S2, generating an encryption master key and hierarchical subkeys based on the AES algorithm; S3, encrypting data of different sensitivity levels using AES encryption algorithms with different rounds and encryption modes; S4, dynamically updating the key and encrypting and storing the updated key in the kernel secure storage area; S5, adding a checksum to the encrypted sensitive data and verifying data integrity; S6, reading the corresponding key and decrypting the data to complete data access. This invention significantly improves key security and data integrity, effectively balances encryption efficiency and system performance, has strong adaptability and high practicality, and is easy to promote and apply.

The application discloses an advertisement click rate prediction system, comprising a data acquisition module for real-time acquisition of user behavior data, attribute data, context data and biological characteristic signal data; a multi-modal feature extraction module for extracting multiple feature vectors; a dynamic feature fusion module for dynamically weighting and fusing multi-modal features through an adaptive attention fusion network; a graph neural network coding module for coding a heterogeneous graph structure to generate a graph embedding feature vector; an adaptive routing prediction module for dynamically selecting an expert subnetwork through a router network for prediction; a real-time feedback calibration module for online parameter updating based on real click feedback and generating a calibration signal; and a multi-objective optimization decision module for outputting an advertisement recommendation list based on multi-objective optimization. The application realizes accurate prediction and intelligent decision through adaptive routing and multi-objective optimization, and significantly improves the accuracy and scene adaptability of advertisement click rate prediction.

The invention relates to the technical field of bridge structure safety device manufacturing, in particular to a hot bending forming process of a fixing plate for a beam falling prevention device, which comprises the following steps: blanking of the fixing plate for the beam falling prevention device: selecting Q355 hot rolled steel, cutting the Q355 hot rolled steel to a preset size by using a laser cutting machine, blanking, and reserving 3-5mm machining allowance on two sides; according to the hot bending forming process, laser cutting blanking and milling machine finish machining are combined, material waste is reduced while the precision is guaranteed, the high-frequency rapid heating and hot forging forming process is adopted, the machining efficiency and material plasticity are remarkably improved, meanwhile, oxidation burning loss is reduced, and the product quality is improved. Meanwhile, a special tool cavity, a water cooling system and a profiling detection and shape correction technology are matched, the forming precision and the size stability are ensured, in addition, the technology is achieved based on conventional equipment, the comprehensive advantages of procedure simplification, cost reduction, efficiency improvement, performance optimization, forming precision and the like are achieved, and the method is suitable for batch production and has good industrial popularization value.

The present invention provides a data query method, device and equipment, the method comprising: obtaining a query task and a first identifier of the first data requested by the query task; judging whether the first identifier is contained in a preset table to obtain a judgment result, wherein the preset table stores a plurality of second identifiers of second data, and the second data is stored in a main database and a backup database; determining a target database in the main database and the backup database according to the judgment result, and sending the query task to the target database. In the present invention, it can be determined based on the preset table whether the query is obtained from the main database or the backup database, without determining whether the queried data is obtained from the main database or the backup database based on the LSN of the data, that is, it is not necessary to obtain the LSN from the main database and the backup database, thereby avoiding performance loss of the main database and the backup database, and ensuring that the load balancing of the main database and the backup database can achieve the expected effect.

The application discloses a preparation method of a flexible pressure sensor and belongs to the technical field of flexible electronic devices and materials, and comprises the following steps: (1) spin coating to prepare a sacrifice layer, (2) preparing an encapsulation layer and an adhesive layer, (3) placing a lower mask and spin coating a lower electrode, (4) spin coating a piezoresistive layer, (5) removing the lower mask and spin coating a dielectric layer, (6) placing an upper mask and spin coating an upper electrode, (7) removing the upper mask and spin coating an encapsulation layer, and (8) product stripping treatment. In the application, the in-plane strain is limited in a non-sensing area through strain engineering, a plurality of sensors need not to be integrated or a complex microstructure is not needed, and the in-plane strain and the out-of-plane pressure signal are effectively decoupled.

The invention relates to the technical field of aircrafts, and provides a camera sharing method and device, an aircraft and a storage medium. Wherein the physical camera is started through the video management interface; applying for a kernel buffer area corresponding to the physical camera, and configuring the kernel buffer area to be in a direct memory access mode; exporting the kernel buffer area as a direct memory access buffer area handle; and creating a virtual camera conforming to a video management interface standard, and binding the direct memory access buffer area handle with the virtual camera. According to the invention, zero-copy image stream sharing can be realized, performance loss caused by multiple copies of image stream data in a user mode is avoided, and the real-time requirement of multiple applications on camera sharing is met.

The application discloses a kind of sound barrier backboard pressure rib parameter optimization design method, it is related to engineering structure design and optimization technical field, and design method includes the following steps: establishing the finite element model of sound barrier, applies design wind pressure load, with predetermined initial pressure rib parameter as benchmark, deflection is solved;In the case where remaining parameters remain unchanged, respectively, change the depth, width, quantity and length of backboard pressure rib alone and carry out single-factor parameterization simulation, obtain the deflection variation corresponding to each parameter under different value;According to the size of deflection variation, determine the influence weight order of each parameter on the wind pressure resistance performance of screen body;With the parameter of maximum influence weight as priority maximization object, determine the maximum feasible value of this parameter within the range allowed by manufacturing process, and form optimal pressure rib parameter combination in combination with the maximum value of the remaining parameters.It is realized that the wind pressure resistance performance of screen body is maximized by systematic parameterization simulation and influence weight ordering.

The invention relates to a block chain data synchronization method and device, equipment, a storage medium and a product, and relates to the technical field of block chains. The method comprises the steps of obtaining prediction data related to a network state of a block chain network; predicting the network load of the block chain network based on the prediction data through the hybrid prediction model to obtain a network load prediction value; the hybrid prediction model is constructed based on a time sequence model and a graph neural network model; based on the network load prediction value and the network topology structure information, performing preliminary slicing on the to-be-synchronized data to obtain a preliminary slicing result; performing resource consumption assessment and synchronous risk assessment on each block chain node to obtain a resource consumption score and a synchronous risk score of each block chain node; and generating a data synchronization strategy based on the resource consumption score and the synchronization risk score of each block chain node and the preliminary slicing result, so as to perform block chain data synchronization based on the data synchronization strategy.

The invention discloses a semiconductor device. Comprising an active region and an electrode structure layer arranged on the active region, the electrode structure layer comprises a gate electrode, the gate electrode comprises an amorphous isolation layer and a first polycrystalline layer which are sequentially stacked in the direction away from the active region, the amorphous isolation layer comprises compounds of metal elements, IVA group elements and nitrogen elements, and the metal elements comprise one or more of Ti, Co and Ni. According to the invention, the amorphous isolation layer is arranged between the active region and the first polycrystalline layer, diffusion of doped elements in the first polycrystalline layer along the grain boundary of the first polycrystalline layer is blocked through the amorphous characteristic of the amorphous isolation layer, the function of blocking diffusion of the doped elements is realized, and the phenomenon that the doped elements are continuously diffused to the active region along the grain boundary is avoided. And the performance loss of the semiconductor device is caused.