54results about How to "Reduce data transfer volume" patented technology

The invention discloses a data generation method of a photoetching pattern, an electron beam exposure system, a medium and a product, which are applied to the technical field of photoetching. The method is applied to an electron beam exposure system comprising an upper computer and a lower computer. The method comprises the following steps: receiving first original coordinate data and second original coordinate data of a layout transmitted by the upper computer; performing linear interpolation based on the first original coordinate data and the second original coordinate data to obtain a plurality of pieces of original intermediate coordinate data; respectively mapping the first original coordinate data, the second original coordinate data and each piece of original intermediate coordinate data into first mapping coordinate data, second mapping coordinate data and each piece of mapping intermediate coordinate data of a lower computer; and performing exposure operation based on the first mapping coordinate data, the second mapping coordinate data and the mapping intermediate coordinate data. The data transmission quantity between the upper computer and the lower computer can be reduced, the bandwidth occupation and delay of data transmission are reduced, and the exposure efficiency is improved while the exposure precision is guaranteed.

This invention discloses a method, apparatus, medium, and product for calculating bonding interactions in molecules. The method includes: allocating bonding tasks using a three-dimensional interconnected computing architecture, and constructing a bonding atom set and a bonding task index table matching the allocated bonding tasks within each computing module. This ensures that identical atoms do not need to be repeatedly stored when the computing module executes all bonding tasks, reducing the storage overhead of atomic information; dynamically acquiring and filling atomic information from the local machine or other computing modules into the corresponding storage locations of the bonding atom set, extracting atomic information according to the index table, calculating bonding components in parallel, and accumulating the bonding components of identical atoms to obtain the resultant bonding force; and updating the resultant bonding force and atomic information through inter-module interaction, and re-storing the atomic information according to the updated spatial arrangement. This reduces the amount of data transmission between modules while ensuring the accuracy of molecular bonding interaction simulation, thereby improving the stability and efficiency of the overall molecular dynamics simulation.

This invention discloses a method and system for protecting privacy in wearable devices for human activity recognition, aiming to solve the problems of existing methods struggling to balance privacy and utility, and high resource consumption on the edge. The method first acquires multi-channel time-series signals from the wearable device and constructs fixed-length feature vectors. Based on a sensitive attribute inference model and the number of high-risk features, it divides the device into high-risk and low-risk feature sets. Only the high-risk feature sub-vectors are subjected to perturbation noise to generate perturbation latent representations, which are then uploaded to an edge server along with the low-risk feature set. The edge server generates the final feature vectors and assesses the risk of privacy leakage. An offline evaluation is used to construct a privacy-utility trade-off, dynamically adjusting the perturbation dimension and noise amplitude. This invention achieves targeted protection of high-risk features, maximizing the preservation of key recognition information, reducing edge computing power and communication overhead, adapting to the differentiated needs of different scenarios, and balancing privacy security and activity recognition performance.

The application discloses a smart community police management system and method based on Internet of Things security, and belongs to the technical field of smart communities, and solves the problem that existing system data processing cannot utilize edge computing nodes for low-delay real-time analysis, and cannot meet timely early warning requirements, the method comprising preprocessing of multi-source heterogeneous community monitoring information, analysis and processing of the community monitoring information based on edge computing, and generation of a risk propagation path in combination with front-end analysis results and heterogeneity characteristics; in the application, analysis and processing of the community monitoring information based on edge computing avoids the delay of centralized processing, can quickly trigger early warning in the early stage of a risk event, thereby gaining golden disposal time for risk event disposal, and a risk analysis model realizes a leap from single-node anomaly detection to composite risk quantification through multi-dimensional feature fusion and dynamic space-time reasoning, and realizes multi-dimensional feature fusion and dynamic reasoning capability of the risk event.

The application provides a network test transmission optimization method and a test system, and belongs to the technical field of network testing.The network test transmission optimization method of the application transmits only the 4-layer header and load description information, compared with transmitting complete data packets, the data transmission amount of the PCIe bus is greatly reduced, and the bandwidth occupation of the PCIe bus is significantly reduced;the FPGA intelligent network card locally completes load generation, assembly and detection, does not need to rely on the CPU processing of the mainboard, reduces the data interaction delay, and improves the concurrent test capability of the test instrument.

The utility model relates to remote monitoring control technical field discloses a kind of remote monitoring control device for EIGA equipment, including total data processing mechanism, the end of total data processing mechanism is provided with probe mechanism, the probe mechanism includes frame component, the surface of frame component is connected with the end of total data processing mechanism, the inside of frame component is provided with self-cleaning component, the self-cleaning component includes outer extension cylinder, the surface of outer extension cylinder is provided with air hole, the inner wall of air hole is fixedly connected with dust baffle, the outer surface of outer extension cylinder is fixedly connected with helical rib, the inner wall of outer extension cylinder is rotatably connected with baffle. In the utility model, self-cleaning design reduces the interference of dust to monitoring, without disassembly cleaning, the layout of multiple probe multiple type monitoring element realizes multi-region multidimensional synchronous monitoring, hierarchical data processing and transmission mode according to demand networking, reduce data transmission volume and total control operation pressure.

The application provides a national encryption and international algorithm compatible method for eUICC card and eIM platform public key interaction and an eUICC card, relates to the technical field of Internet of Things communication, and comprises the following steps: configuring configuration data information corresponding to multiple eIM platforms in the eUICC card, wherein the configuration data information contains the platform unique identification and service public key data of each eIM platform, the service public key data contains service information verification public key and an added algorithm type field, and the algorithm type field is used for uniquely identifying national encryption algorithms or international algorithms; in a business interaction process, the eUICC card matches corresponding configuration data information through the platform unique identification in a service data packet message sent by a target eIM platform, and then performs signature verification on the service data packet information based on the national encryption algorithms or international algorithms selected through the algorithm type field and the service information verification public key, so as to realize the security verification of the business interaction with the target eIM platform. The beneficial effect is that the accurate compatibility of national encryption and international algorithms in the public key mode is realized.

The application relates to a power distribution network harmonic index data evaluation, transmission method and system, the method comprising: after obtaining harmonic index data, directly judging whether a harmonic abnormal event occurs in real time according to the harmonic index data, so that the uploaded harmonic abnormal event has real-time performance. The harmonic index data is fitted to obtain fitting coefficients and is uploaded, so that a superior terminal such as a harmonic analysis platform can restore the harmonic index data at any time according to the fitting coefficients. Meanwhile, the application also screens the to-be-transmitted data in the harmonic index data, and only uploads the to-be-transmitted data, thereby reducing the data transmission amount and enabling the superior terminal to verify the restored harmonic index data through the to-be-transmitted data.

This invention discloses an image display method, device, and computer-readable storage medium. The method includes: determining a gaze region and a non-gaze region in a screen to be displayed, wherein the non-gaze region is the area in the screen to be displayed other than the gaze region; determining an initial display resolution corresponding to the non-gaze region based on a preset resolution of the display screen and a display resolution corresponding to the gaze region; determining a pixel magnification ratio corresponding to the non-gaze region based on the actual resolution corresponding to the non-gaze region and the initial display resolution, wherein the actual resolution corresponding to the gaze region is greater than the actual resolution corresponding to the non-gaze region; adjusting the current pixel size of the non-gaze region to a target pixel size based on the pixel magnification ratio, wherein the target pixel size is greater than the current pixel size; and controlling a head-mounted display device to display the screen to be displayed after adjusting the pixel size, thereby improving the display effect of the head-mounted display device.

The invention discloses a server-free remote memory access performance optimization method based on cross-process memory tracking, and belongs to the technical field of computer memory management. The method comprises the following steps: designing a memory state table as a unified perception layer for remote memory access of homologous server-free containers, and realizing cross-process tracking of memory page states among different containers; a memory state table query process is embedded into hardware page table traversal, page state query is completed by hardware acceleration, and extra overhead on a memory access key path is eliminated; the remote memory access is merged and optimized based on the memory state table, cached local memory pages are reused in the container creation stage, the same remote memory access requests are merged in the operation stage, and the page missing exception frequency and the network bandwidth contention are reduced. According to the method, extra overhead caused by remote memory access in a server-free environment is effectively reduced, page missing abnormity and network bandwidth contention in a concurrent scene are greatly reduced, and the running performance and the system expandability of memory-intensive server-free applications are remarkably improved.

The present disclosure relates to a virtual expression generation method and device, electronic equipment and storage medium. The method comprises: obtaining a face region in an original image to obtain a target face image; obtaining a first face coefficient corresponding to the target face image; performing time domain correction processing on the template expression coefficient and / or the pose coefficient in the first face coefficient to obtain a target face coefficient; rendering an expression of the virtual image according to the target face coefficient to obtain a virtual expression. In this embodiment, by performing time domain correction processing on the first face coefficient, the expressions of adjacent original images in the video can have relevance and continuity, the reconstructed expression is more natural, and the viewing experience is improved; by transmitting the target face coefficient instead of image data to render the expression of the virtual image to obtain the virtual expression, the data transmission amount can be reduced, and the effect of real-time reconstruction of the virtual expression is achieved.

The invention requests to protect an illegal operating vehicle rapid identification system and method based on a de-noising convolutional neural network, and the system comprises a multi-module AI-ISP de-noising convolutional neural network module which is used for processing and de-noising vehicle-related information collected by a front end in real time; the LSTM and GRU recurrent neural network model is used for analyzing the vehicle space-time trajectory data processed by the multi-module AI-ISP denoising convolutional neural network module so as to identify a high-frequency abnormal behavior mode of an illegal operating vehicle; the real-time internal and external network penetration mapping PHTunnel component ensures that data is safely transmitted between the internal and external networks in real time, and connects the LSTM and GRU recurrent neural network model with the handheld terminal; the handheld terminal is integrated with a second-generation identity card identification module and an RFID module and is used for collecting key evidence information on site; and the customized APP is deeply integrated with the handheld terminal to realize field data acquisition, encryption uploading and instant case processing. According to the system, normal operating vehicles and potential illegal operating vehicles can be distinguished, and the identification accuracy and the case processing efficiency are greatly improved.

This invention provides a method and apparatus for compressing and encrypting snapshots of multiple 3D color objects based on spatial division multiplexing. The method includes: generating an object beam and a reference beam based on a three-primary-color laser source, and generating multiple composite three-color parallel beams based on the object beam; illuminating each 3D color object and a random phase mask connected to each 3D color object with the multiple composite three-color parallel beams, respectively, and calculating the light field distribution of each 3D color object on the corresponding random phase mask plane; encrypting the light field distribution using each random phase mask, and generating an object light field on a detector plane based on the encrypted light field distribution; and generating an encrypted color hologram of multiple 3D color objects by interfering with the reference beam on the detector plane through the object light field and the reference beam. This method can significantly reduce the crosstalk effect during decoding of different encrypted objects, greatly reduce the leakage of object information, and significantly improve security.

The invention discloses an intelligent optimal control method for a networked system, and the method comprises the steps: S1, building a dynamic model of an uncertain strict feedback nonlinear system, and defining an event triggering mechanism based on a relative threshold value; s2, performing online approximation on an unknown nonlinear function in the system by adopting a radial basis function neural network; s3, based on a backstepping method, defining a coordinate transformation error variable, and designing a virtual control law and a parameter adaptive law for the intermediate subsystem; s4, based on the event triggering mechanism and the Lyapunov stability theory, an actual control law and an inverse optimal control law are designed, and a relation exists between the inverse optimal control law and the actual control law; and S5, executing event trigger control according to the actual control law and the event trigger mechanism, and applying the control signal meeting the inverse optimality to the controlled object to realize closed-loop stable control. According to the invention, the problems of signal discontinuity, system uncertainty and network resource limitation can be solved.

The application provides a kind of decommissioned battery remaining life prediction method, system and battery management system, the decommissioned battery remaining life prediction method includes: end side equipment carries out feature extraction and correlation screening to the operation data of decommissioned battery, and battery characteristic data after screening is uploaded to side node;Based on the battery characteristic data after screening, the inference is carried out using battery life prediction model, and the remaining life prediction value is obtained;Wherein, the battery life prediction model uploads the parameters of the battery life prediction model by the side node, the cloud server carries out aggregation optimization to the parameters uploaded by each side node and issues the updated parameters, and the side node receives the updated parameters and updates.The method provided by the application can improve the accuracy and real-time performance of the remaining life prediction of decommissioned battery.

The embodiment of the invention relates to the technical field of computers, and provides a data acquisition method and electronic equipment, a first application and a first test tool are installed on the electronic equipment, and the first application comprises a reflection proxy service and a reflection interface. The electronic device determines a first reflection parameter through a reflection proxy service in response to a first data request of a first test tool. Wherein the first data request is used for requesting to obtain feature data of the first object, and the first reflection parameter comprises an identifier of the first object. Then, the electronic equipment transmits the first reflection parameter to the reflection interface through the reflection proxy service, the reflection interface is called to obtain first data generated by operation of the first application, and the first data comprises feature data of the first object; finally, the electronic device returns the first data to the first test tool through the reflective proxy service. Through the method, the complexity of cross-process communication interaction can be effectively reduced, and the data acquisition efficiency is improved.

The invention relates to the technical field of storage, and discloses a data verification method and system, the method is applied to the data verification system, the data verification system comprises an RAID controller and at least two storage devices, the RAID controller is in communication connection with the at least two storage devices, and the storage devices comprise data storage modules. According to the method, information of the storage device is obtained through the RAID controller, a rapid consistency check instruction is generated based on the information of the storage device, the storage device obtains data corresponding to the rapid consistency check instruction from a data storage module based on the rapid consistency check instruction, the data corresponding to the rapid consistency check instruction is calculated, and the data corresponding to the rapid consistency check instruction is obtained. According to the embodiment of the invention, the RAID controller compares the calculated values of the at least two storage devices to obtain the first verification result, so that the data transmission quantity between the RAID controller and the plurality of storage devices in the consistency checking process can be reduced, and the consistency checking efficiency of the plurality of storage devices is improved.

The application discloses a transformer state monitoring and data transmission method, system, device and medium based on cloud edge cooperation, belongs to the technical field of power equipment monitoring, and comprises the following steps: collecting transformer data through an edge layer; judging whether matched fault physical characteristics exist in a fault characteristic library; triggering a diagnostic rule engine to obtain a first diagnostic result when the matched fault physical characteristics exist; calling a lightweight diagnostic model to obtain a second diagnostic result; calculating the final probability of various faults according to the first diagnostic result and the second diagnostic result; determining a health state according to the final probability; determining a data transmission level according to the health state; determining data to be transmitted according to the data transmission level; predicting available bandwidth and determining a transmission mode; and transmitting the data to be transmitted from the edge layer to a cloud layer. Through the cloud edge cooperation architecture and the data hierarchical transmission mechanism, the application meets the real-time requirement of data transmission and maintains the fault diagnosis capability when communication is interrupted.

The application discloses a federated learning method and system for Internet of Vehicles heterogeneous data, and relates to the technical field of intelligent transportation. The method comprises the following steps: a roadside unit sends a current global model and a global control variable to a vehicle participating in training; the vehicle performs local training combined with a client drift correction mechanism through local data and a differential privacy stochastic gradient descent algorithm, and generates a local model update; the vehicle calculates a noise multiplier for the next round of training through an individualized adaptive differential privacy strategy according to a loss value of the current round of training; the vehicle judges whether the current round of model update is effective based on selective uploading; if the update is effective, the vehicle uploads a model increment and a local control variable increment to the roadside unit, and the roadside unit updates the global model and the global control variable after aggregation. The application innovates from three aspects of privacy protection, model optimization and communication strategy, and provides a solution for constructing an efficient and safe and reliable federated learning in an Internet of Vehicles scenario.

The application provides a data security monitoring method, device, intelligent gateway, system and storage medium for coal mine gas emission reduction. The method comprises the following steps: acquiring first time series data collected by at least one sensor of a to-be-monitored device within a recent preset time period; generating a dynamic threshold according to the first time series data; acquiring second time series data collected by the at least one sensor of the to-be-monitored device; detecting whether the second time series data is within the dynamic threshold range; in the case that the second time series data is not within the dynamic threshold range, marking the second time series data as abnormal data; otherwise, marking the second time series data as normal data; and transmitting the second time series data marked as normal data to a national carbon market management platform. The embodiment of the application can transfer the task of abnormal data discrimination to the intelligent gateway side, greatly reducing the data transmission amount of the gateway and the national carbon market management platform, and avoiding waste of network bandwidth and storage resources.

The application belongs to the technical field of solid-state storage, and specifically discloses a solid-state disk fault-aware reading optimization and code length self-adaption method and device, which comprises the following steps: a fault-aware re-reading mechanism is constructed, a code word that fails to be decoded in a primary decoding round is marked, and only the marked failed code word is transmitted in a subsequent re-reading round; based on the fault-aware re-reading mechanism, the delay of hard-decision decoding and the delay of soft-decision decoding are analyzed and combined to obtain a fault-aware reading delay model; the fault-aware reading delay model comprises a default reading operation delay model and a soft-decision reading operation delay model; when reading data, a reading mode determination result is obtained based on the fault-aware reading delay model; when writing data, a target code length in the case of the shortest reading delay is obtained based on the fault-aware reading delay model; and the target code length is used to write data. Through the application, the reading performance of an SSD can be improved under the condition that the code rate remains unchanged.

Embodiments of this disclosure provide a method, system, electronic device, computer-readable medium, and computer program product for displaying emoticons in a conversation. The method includes: displaying a conversation interface, the conversation interface including a conversation display area and an emoticon display area, the emoticon display area displaying at least one emoticon image, the at least one emoticon image including a first emoticon image; causing the conversation display area to enter a point-and-draw state according to a first selection operation on the first emoticon image in the emoticon display area; and displaying the first emoticon image in the first selected area according to a first target operation on the first selected area in the conversation display area. The method, system, electronic device, computer-readable medium, and computer program product for displaying emoticons in a conversation provided by embodiments of this disclosure can achieve efficient user communication based on operations on emoticons.

The application discloses a network algorithm integrated multi-core particle integrated system network design method, which designs the network layer in the multi-core particle integrated system by integrating an operation unit in a network unit. The method mainly comprises router micro-architecture design, task mapping and software and hardware collaborative design; the router micro-architecture design is the hardware implementation, flow control, pipeline design and arbitration design of the router, and part of the calculation amount that needs to be aggregated is transplanted from the processor to the network for processing; the task mapping is the mapping of the tasks in the application system flow diagram to the multi-core particle integrated system; and the software and hardware collaborative design is the optimal software and hardware configuration designed in the mode of software and hardware combination with the minimum application running time as the target. The application can realize calculation in the data transmission process, reduces the data amount of network transmission and communication delay, thereby accelerating the running speed of the application on the multi-core particle integrated system.

This invention discloses an intelligent computing center performance evaluation and optimization management system, belonging to the field of intelligent computing center management technology. The system includes a data acquisition module, a data preprocessing module, a performance evaluation module, an optimization decision-making module, an execution control module, and a data storage module. The data acquisition module uses IoT sensors and edge computing nodes to collect real-time operating data from various devices and transmits it encrypted. The data preprocessing module uses the Spark Streaming framework to clean and denoise the data. The performance evaluation module integrates a CNN-LSTM hybrid network and the Analytic Hierarchy Process (AHP) to generate a comprehensive performance score through a formula. The optimization decision-making module uses reinforcement learning and other algorithms, combined with a digital twin engine and energy consumption prediction formulas, to generate the optimal resource scheduling scheme. This system achieves comprehensive data acquisition, accurate performance evaluation, scientific optimization decision-making, and efficient execution control for intelligent computing centers, improving operating efficiency and reducing energy consumption, and has high practical value.

The invention provides a photovoltaic module adaptive monitoring and early fault early warning method and system. The method comprises the following steps: constructing a three-layer intelligent monitoring network architecture; the photovoltaic module intelligent monitoring node PV-SN executes a multi-mode cooperative sensing and self-adaptive sampling strategy, collects multi-dimensional state parameters of the photovoltaic module, and calculates a local health index LHI (t); the ECN executes edge side data fusion and diagnosis, and operates a lightweight anomaly detection algorithm to identify suspicious components; the cloud digital twinborn platform CDTP runs a high-precision fault diagnosis model, performs component performance degradation prediction and fault propagation simulation by using a digital twinborn model, and generates a predictive maintenance decision; and based on the suspicious component and the predictive maintenance decision, optimizing sensing parameters and network communication strategies of intelligent monitoring nodes PV-SN of each photovoltaic component to form a closed-loop intelligent optimization system. The technical problems that the monitoring dimension is single, the communication mode is limited, the diagnosis capability is insufficient, and the system intelligence degree is low are solved.

This application provides a webpage display method, apparatus, electronic device, and storage medium. The method includes: sending a first request to a server, causing the server to return configuration information according to the first request; receiving the configuration information; retrieving component modules and event information from memory according to the configuration information; binding the component modules and the event information to obtain bound component modules, wherein the event information is used to control the actions executed when the component modules are triggered; and generating and displaying a first webpage based on the bound component modules. Since both the component modules and event information are pre-stored in memory, the server only needs to send the configuration information, reducing data transmission volume and the number of events generated for dynamic pages. When developers need to update dynamic pages, they only need to modify the configuration information on the server, without requiring significant language learning costs, thus improving development efficiency.

The invention provides a semiconductor structure and a preparation method thereof, a chip packaging structure and a storage system, relates to the technical field of semiconductors, and aims to reduce the overall power consumption of the semiconductor structure, improve the heating problem of the semiconductor structure and improve the performance of the semiconductor structure. The semiconductor structure includes a plurality of dies disposed in a stacked manner. At least one of the dies includes a first portion and a second portion. In a cross section of the bare chip perpendicular to a first direction, the first portion and the second portion are adjacent to each other, and the first direction is a thickness direction of the bare chip. Wherein the first part comprises a storage unit array, and the second part comprises a storage and calculation integrated unit array. Comprising the semiconductor structure can be applied to a storage system to realize data reading and writing operations.

The utility model discloses a temperature diagnosis system for a cable head, which comprises a current sensor, a wireless temperature sensor, an environment temperature sensor and a signal processing unit, the current sensor is arranged on a protection layer of the cable head to collect cable load current data, and the wireless temperature sensor is arranged at the position of the cable head to measure the temperature of a cable metal layer. The wireless temperature sensor is in signal connection with the current sensor, the current sensor sends a signal to the wireless temperature sensor to wake up the wireless temperature sensor to perform temperature measurement when detecting current abnormity, and the wireless temperature sensor is in a sleep state after sending temperature information to the signal processing unit; the environment temperature sensor is arranged on the outer surface of the cable to measure the current environment temperature, and the signal processing unit is connected with the wireless temperature sensor and the environment temperature sensor to compare the temperature detected by the wireless temperature sensor with the temperature detected by the environment temperature sensor. And when the temperature difference between the two exceeds a temperature threshold, an alarm is triggered.

This invention provides a method and system for finding intersections of large-scale privacy-preserving sets based on dynamic bucket load balancing. The method replaces the traditional RSA scheme with an elliptic curve-based OPRF environment within logical buckets, enabling batch processing using vector OPRF technology. It optimizes OPRF computation using orthogonal basis vector projection, significantly reducing computational complexity. A global ciphertext intersection is generated through a cross-bucket multi-level aggregation mechanism. The optimized transmitted data is processed using an LRU caching strategy and FlatBuffers serialization, combined with differential encoding for data compression. Finally, the data is securely decrypted and a formatted result is generated. This invention significantly improves computational speed, reduces memory consumption, and maintains high security, making it suitable for large-scale privacy-preserving data analysis applications.

The application belongs to the field of home energy management, and relates to an energy management method and system based on sparse federated reinforcement learning, comprising: collecting local energy consumption information at each time step, and receiving real-time electricity price information from a power company; constructing an initial energy management model, and training the initial energy management model to obtain a final energy management model; based on the energy consumption information and the real-time electricity price information, executing an intelligent energy management algorithm through the energy management model to obtain an energy management strategy; generating control instructions for installed household devices through the energy management strategy, and managing the installed household devices through the control instructions; fundamentally solving the memory bottleneck problem of edge devices, realizing the localization deployment of complex algorithms, significantly reducing the communication overhead of federated learning, and improving the system training efficiency and stability.