17results about How to "Reduce data transfer volume" patented technology

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 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 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.

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 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 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.

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.

This invention relates to a software-defined IoT edge gateway and data processing method. The IoT edge gateway includes: a communication module for connecting sensors using multiple communication protocols, dynamically configuring communication parameters, and acquiring configuration information; a data interpretation module for receiving raw data sent by sensors and dynamically interpreting, format-converting, and mapping the raw data using data parsing rules to generate semantically structured data; a data storage module for storing data; a Wi-Fi / 4G communication module for uploading the semantically structured data to a cloud server and receiving configuration information from the cloud server; and an MCU for coordinating the work of each module and verifying and dynamically loading configuration information. This invention achieves lightweight and optimized edge data processing by dynamically defining the device's real-time interpretation, mapping relationships, data processing, and analysis of raw data through accompanying mobile software.

The application provides a kind of edge computing cooperates cloud optimization's marine observation data real-time quality control method, belongs to marine observation technical field, the application is collected marine meteorological parameter after edge observation node, calls lightweight quality control preliminary screening model and carries out coarse granularity anomaly detection, uploads suspected abnormal data section to cloud server, cloud server calls marine quality control cooperative optimization model and carries out fine check and calculates comprehensive anomaly score and judges data quality level, executes sensor drift monitoring and data elimination, according to quality control result, updates spatiotemporal layered statistical feature library and distributes dynamic threshold parameter set and model update gradient to edge node through asynchronous federal learning framework, after edge node receives update parameter, optimizes local model and uploads gradient for global model aggregation, solve the technical problem that marine observation data quality control is difficult to ensure real-time and accuracy simultaneously.

The application belongs to the technical field of computers, and particularly relates to a table connection method, a table connection device, a computer readable medium, an electronic device and a computer program product. The method comprises the following steps: extracting field data corresponding to a key value from two tables to be connected according to the key value as a table connection basis; performing partition processing on the extracted field data to obtain multiple groups of partition data corresponding to different computing nodes; performing matching screening on two groups of partition data respectively belonging to the two tables to be connected on each computing node to obtain intersection data of the two groups of partition data; and updating the tables to be connected according to the intersection data screened by each computing node. The embodiment of the application can reduce the consumption of computing resources of table connection.

This application discloses a method and system for archival data disaster recovery based on distributed technology, relating to the field of data disaster recovery technology. The method includes: encoding the original archival data object to obtain K data fragments and M verification fragments, which are then distributed and stored in a cluster; real-time monitoring of the storage node status, and when a fault is detected, determining the set of fragments lost due to the fault, denoted as the set of fragments to be repaired; calculating the heat value of each fragment to be repaired, and predicting the availability of repair resources for multiple future time intervals, generating a repair task queue based on the heat value and the availability of repair resources; selecting a subset of surviving fragments for repair by calculating their network pressure index, and generating repair fragments through linear encoding operations; performing hash verification, and storing the verified fragments in healthy storage nodes. This application aims to solve the problems of large impact on business performance, high latency in critical data recovery, and severe network traffic redundancy during data repair, effectively suppressing repair storms.

The application discloses a kind of based on digital pathology section local high-precision magnifying glass system, comprising: main view module, for loading and display digital pathology whole section image;Magnifying glass module, including nested sub-viewport, for specified local area in the current field of view of the main view module is carried out high-power display;Wherein, the magnifying glass module is shared with the main view module by cloning mechanism Image resources;Display area layer, which is overlaid on the display interface of the main view module, is used to visually mark the corresponding position of the local area in the main view module;Control handle layer, integrated in the display area layer, is used to receive user input to interactively adjust the local area, realize local magnification based on original high-resolution data;Non-repeated loading of image resources significantly reduces server and network pressure;Main view and local view are highly consistent, to avoid misdiagnosis.

This disclosure provides a data processing method, a many-core system, and a storage medium. In this data processing method, since each processing core that jointly processes a task only processes a portion of the required data (i.e., each processing core does not need to acquire all the data), the amount of data transferred before starting task processing (or the amount of data transferred between processing cores processing adjacent tasks) is reduced, thereby reducing the on-chip network's transmission bandwidth requirements.