82 results about "Information and Communications Technology" patented technology

The invention discloses a short message template intelligent identification method and system based on semantic similarity calculation, relates to the technical field of information and communication, and realizes automatic matching of a request short message and a template library through semantic vectorization and similarity calculation; semantic extension, structural constraint and a dynamic feedback mechanism are combined, so that the matching accuracy and robustness are improved; an optimization process driven by a multi-level model and category features is introduced, and an identification-feedback-optimization closed-loop system is formed; the system structurally comprises a semantic modeling module, a similarity calculation module, a dynamic feedback module and a template optimization module, automatic and efficient short message template recognition and updating can be achieved, and the requirements for real-time performance and accuracy in a large-scale application scene are met.

The invention discloses an OTFS waveform modulation method based on DFrFT time-frequency analysis, solves the problems of fixed time-frequency resolution, signal fuzziness and cross term interference existing in Heisenberg (Wigner) transformation in an OTFS system in a high dynamic scene, and belongs to the technical field of information and communication. The method provided by the invention comprises the following steps of: modulating sending data to obtain a DD domain signal, firstly performing inverse symplectic Fourier transform on the DD domain signal, then converting the DD domain signal into a time domain signal block through IDFrFT transform, adding a cyclic prefix (CP) to the time domain signal block, performing row-column transform, and then transmitting the time domain signal block; a cyclic prefix (CP) is removed from a signal received by a receiving end, the signal is converted into a time domain signal block subjected to parallel processing, a time-frequency domain signal is obtained after the time domain signal block is subjected to DFrFT transformation, then the time-frequency domain signal is mapped back to a DD domain through the Sextile Fourier transform, a DD domain signal is obtained, the DD domain signal # imgabs0 # is demodulated, and recovered sending data are obtained. The IDFrFT provided by the invention obviously reduces the calculation complexity.

The invention discloses a short message template classification and automatic matching method and system based on an AI technology, and relates to the technical field of information and communication. A pre-training language model is introduced to carry out separated semantic modeling on a short message request and a template text, and a request side vector group and a template side vector group are extracted respectively; constructing a semantic neighborhood graph based on the request side vector, and performing dynamic correction by taking the template vector as a reference to form a request-template joint semantic graph; node feature propagation is carried out on a graph structure by utilizing a graph convolutional neural network, a migration probability matrix from a request to a template category and template category feedback information are generated, then semantic representation of the request and a template is optimized, a category weight adjustment table is generated by a system in combination with category response strength and a semantic offset condition, and a template category is obtained. And carrying out dynamic correction on template category representation, carrying out matching calculation on optimized vectors through a joint matching module, determining an optimal template, and completing parameter filling and message sending.

The invention belongs to the technical field of information and communication for management or supervision, and relates to a management method and system for reckoning progress and income based on cost resource usage amount, and a readable medium, and the method comprises the steps: creating a progress plan of a project; the actual progress is obtained in real time by collecting multi-source data, and the project cost is analyzed according to a progress plan; inputting the data of the actual income and the actual progress into the project calculation model, and calculating the project income by dynamically adjusting the weight of each type of resources; performing project economic activity management on the analysis result of the project cost and the calculated project income; through project economic activity management, early warning is carried out on data which does not reach a progress plan and plan income, and an early warning level is set. According to the method, multi-dimensional and multi-level management control can be performed on the project, key nodes and risk items of the project are automatically displayed through a visual analysis technology, and cost and progress monitoring of the whole life cycle from starting to ending of the project is realized.

The invention provides a multi-agent collaborative information processing method and device, equipment and a medium, relates to the technical field of information and communication, and is suitable for the field of financial science and technology and the field of medical health. The method comprises the following steps: the terminal responds to acquired target operation information, and performs screenshot on an original interface to obtain an original interface screenshot; sending the target operation information to a cloud planning agent to obtain a target planning scheme; performing action decision on the target planning scheme and the original interface screenshot through an edge execution agent to obtain a target planning action sequence; executing the first target planning action on the original interface to obtain a first interface screenshot; and performing interface verification on the first interface screenshot through the edge observation agent, and then selecting to update the original interface or update the first interface. According to the method, the three agents are uniformly coordinated to form a continuous self-adaptive, self-error correction and self-optimization multi-agent collaborative architecture, so that the information processing accuracy is improved.

The invention relates to a privacy protection distributed dual average online optimization method and system based on state decomposition, and belongs to the technical field of information communication. According to the algorithm provided by the invention, state decomposition and gradient adjustment strategies are combined, so that the privacy protection capability is enhanced, and the unbalance in the directed network is eliminated at the same time. A state variable of each node is decomposed, one state variable is only updated in the node and does not communicate with the outside, and the other state variable is used for exchanging information with adjacent nodes. In addition, the weights between the variables are time-varying, and only the node itself knows its specific value, thereby further enhancing the privacy protection mechanism. According to the method, extra hidden signals are not needed, and the calculated amount is not obviously increased. Under the support of a distributed optimization theory, the algorithm provided by the invention has better effectiveness, does not need central control, can solve the actual problems in the time-varying directed network, has the characteristic of privacy protection, and has wide application prospects.

The embodiments of the present invention relate to the field of information and communication technology, and disclose a layout method, device, server and storage medium for a message middleware. In the present invention, a coupling set of topics is obtained; wherein, the topics in each coupling set have a coupling relationship; all topics are decoupled and grouped according to the coupling set of topics to obtain multiple topic sets; the multiple topic sets are respectively deployed in each message middleware container cluster, wherein one topic set is deployed in one message middleware container cluster. Through the above technical means, the topics of the message middleware are decoupled and grouped, and the message middleware is distributedly deployed in a cluster group composed of a message middleware cluster, so that the service pressure of multiple services accessing the message middleware is dispersed, the coupling between multiple services accessing the message middleware is reduced, and the working stability of the message middleware is improved, while also simplifying the deployment process of the message middleware.

A data management arrangement that comprises system(s) enabling monitoring and interconnectivity system resources and configuration parameters to be dynamically adapted to ensure re-defined data prioritisation and associated essential minimal data interconnectivity is maintained during high-dependence or critical data applications which arrangement includes the capability to combine and adapt / adjust online network application services connectivity parameters and configurations, mobile or remote monitoring and / or information and communication technology in accordance to required monitoring criteria, monitoring and interconnectivity conditions, status of monitored individual or object, and / or available resources and conditions associated with said NAS connectivity and / or mobile or remote monitoring and / or ICT systems, in accordance to the application and applicable risk mitigation and high-dependence connectivity monitoring aspect and associated requirements, and the capability to combine mobile monitoring or computing location details with current and / or forecast and / or normal conditions in order to determine travel, health, and other alerts, advice and recommendations.

The invention discloses a block-level air quality dynamic traceability method and system based on a domestic credit and creativity platform, belongs to the technical field of block-level air quality dynamic traceability, integrates 12 types of data sources of an air quality monitoring station, a traffic checkpoint and an industrial internet of things, supports minute-level data updating, carries a three-level nested grid parallel computing architecture, and provides a dynamic traceability system for the block-level air quality. The method supports bidirectional data coupling and distributed calculation of 10km, 3km and 250m grids, comprises a three-dimensional value surface rendering component and a dynamic particle tracking component, realizes pollution cloud picture rendering delay less than or equal to 500ms and particle tracking precision less than or equal to 50m, sets a threshold trigger type early warning mechanism, and automatically generates management and control suggestions in combination with a pollution contribution decoupling result.

The invention discloses an alarm condition video communication system applied to police management, relates to the technical field of police service informatization and communication, and is used for solving the problems of ambiguity, low execution efficiency, low data utilization rate and insufficient intelligent linkage ability in police service dispatching instruction transmission. Task structured analysis and instruction generation are carried out based on semantic content, dynamic matching of tasks and police terminals is realized, a semantic recognition strategy is reversely optimized according to a matching result, a closed-loop linkage mechanism is constructed, audio and video transmission parameters are dynamically adjusted in combination with network bandwidth fluctuation, and the communication stability under a weak network is improved. Based on semantic feedback and instructions, the audio and video data are fragmented, marked and reconstructed, continuity and semantic consistency of data transmission are ensured, integrated collaboration of semantic recognition, task scheduling and transmission optimization is achieved in the whole process, the intelligence and adaptability of the system are improved, and the method is suitable for a multi-terminal police service command scene.

The system's methodology combines a variety of information and communication technologies (ICT) tied to global immigration patterns—specifically connecting native and expatriate populations—to create a cross-cultural, “fusion music” listening experience. The system will foster this experience by creating music-based social networks that function as feedback loops between native and expatriate communities, generating crowd-sourced ‘music intelligence’—a means to identify hit songs in listeners' native languages and the promote, and accelerate, the popularity of these songs overseas in myriad foreign-language music markets. To promote songs worldwide, the system will track streams and rank songs (and podcasts) by the number of times listeners stream them, concurrently and asynchronously, on native and foreign-language platforms, and in a multiplicity of languages.

The invention relates to the technical field of information and communication for supervision purposes, and particularly discloses a cotton yarn matching quality prediction method and system based on artificial intelligence. According to the system, a federated learning architecture cooperates with multi-enterprise data to train a global prediction model, the Monte Carlo Dropout technology is combined to quantify and predict uncertainty, an optimal cotton assorting scheme considering cost, quality and risk constraints is generated based on a multi-objective optimization algorithm, and prediction accuracy, decision reliability and cross-enterprise cooperation efficiency are improved.

This application discloses a method, apparatus, device, system, and readable storage medium for verifying digital certificates, belonging to the field of information and communication technology. The method includes: a second device sending a first certificate set to a first device, wherein the first certificate set is at least one of the certificate sets corresponding to each of at least two root certificates stored by the second device. The dormancy period of the target root certificate whose validity period is not the latest is covered by the working period of a backup secondary CA certificate signed by the target root certificate and the working periods of other secondary CA certificates. The first device verifies the legitimacy of at least one digital certificate of the second device based on the root certificates stored and trusted by the first device and the received first certificate set. In this application, the first device can verify the legitimacy of the digital certificate of the second device using the root certificates trusted by the first device. The first device does not need to upload other certificates, increase the number of certificate verification levels, or support new cryptographic algorithms, thus having a wide range of applications.

Conversion apparatuses are disclosed that allow users to turn their smartphones, tablets, mini / micro PCs, smartwatches, and smart headsets / glasses into laptops or tablets. The laptop or tablet conversion saves money, eliminates the need to maintain or sync multiple operating systems, provides a larger screen for existing devices, and offers portability for mini / micro PCs. The laptop apparatus includes a keyboard, trackpad, speakers, input / output peripherals, charging hub, display, and optional battery pack, while the tablet apparatus has a touchscreen display, docking station, and optional battery pack. Both conversion apparatuses do not include a CPU, GPU, memory, operating system, or other software and hardware that come standard with the devices to be converted. The apparatuses can also accommodate external peripherals such as microphones, webcams, external mice, keyboards, and additional HDMI outputs.

The invention provides a ship information and communication technology double-layer network modeling method based on a unified modeling language. The ship information and communication technology double-layer network modeling method comprises the steps that a ship physical layer deployment graph is constructed according to physical topology, hardware equipment and correlativity in a ship system, the distribution situation of software components on hardware and environmental factors; based on the ship physical layer deployment graph, constructing a ship physical layer class graph according to the ship physical layer dynamic routing relationship; constructing a ship logic layer time sequence diagram according to a self-control signal and a networking structure in a ship system; and based on a unified modeling language, constructing a ship system double-layer network model according to the ship physical layer deployment diagram, the ship physical layer class diagram and the ship logic layer time sequence diagram. According to the method, physical environment parameters, protocol constraints and dynamic fault propagation are introduced into a UML expansion system, and two-way coupling modeling of a physical layer and a logic layer of the ship ICT network is realized by combining deployment diagram three-dimensional space modeling, class diagram redundancy semantic annotation and time sequence diagram dynamic description expansion.

This invention relates to the field of information and communication technology, and provides a satellite ground base station and its multi-operator sharing method. The method includes: the satellite ground base station supporting the establishment of NG links with multiple core networks; the satellite ground base station supporting the broadcast of public terrestrial mobile networks supported by multiple core networks; the satellite ground base station supporting the configuration of air interface resource ratios for multiple operators; and the satellite ground base station allocating air interface time and frequency resources according to the air interface resource ratios of each operator. In satellite communication systems, through the method of allocating air interface resources according to operators using the satellite ground base station of this invention, satellite terminals of different operators can access the same satellite ground base station, sharing the satellite ground base station hardware and air interface time and frequency resources, meeting the needs of independent operation of different services, and reducing network deployment and operation costs.

The present invention belongs to the field of information and communication technology and relates to a channel estimation method for a RIS-assisted wireless communication system based on an attention mechanism. The method comprises the following steps: S1: constructing a channel model and a signal model for the RIS-assisted wireless communication system; S2: generating an experimental data set through MATLAB simulation; S3: pre-estimating channel state information using the least squares method; S4: constructing an attention mechanism network model based on the system model, inputting the experimental data set into the attention mechanism network model for training until the error loss function of the attention mechanism network model converges to obtain a trained attention mechanism network model; and S5: inputting an actual pilot signal and a corresponding received signal into the trained attention mechanism network model to estimate the actual RIS-assisted wireless communication system channel. The method has a fast convergence speed, and the average mean squared error (MSE) loss after convergence is lower than that of other existing solutions. In other words, the estimation result is more accurate than existing estimation methods.

Computer for Artificial Intelligence Assisted Information and Communication Technology Learning

This information and communication technology helps reduce the probability of accidents by increasing practice opportunities equivalent to practical driving lessons, while also reducing the financial burden of obtaining a driver's license. [Solution] A communication terminal comprising: an enrollment data transmission means for transmitting attribute data necessary for identifying trainees; a data provision permission receiving means for receiving inquiries regarding permission to provide the attribute data to a third party; a data provision permission intention transmission means for transmitting permission data in response to the inquiry to grant permission to provide the data to a third party; and a monetary substitute data receiving means for receiving monetary substitute data transmitted from a communication terminal related to a third party.

The invention relates to the technical field of information and communication suitable for supervision, in particular to a block chain-based transformer operation and maintenance data management system, which comprises the following steps of: analyzing a service level protocol into automatically executable commercial contract terms deployed on a chain in a smart contract form through a protocol analyzer; the commercial contract terms are automatically triggered to generate an operation and maintenance work order based on transformer real-time data monitored by an oracle machine; receiving and verifying a completion report, driving a multi-party collaborative acceptance process through commercial contract terms, and finally generating an acceptance voucher containing multi-party digital signatures; generating a verifiable digital certificate for the digital identity of the transformer according to the acceptance certificate, taking the verifiable digital certificate as a non-tampering historical record, and solidifying the verifiable digital certificate in a distributed ledger; according to the invention, high-credibility transformer operation and maintenance management is realized based on the block chain technology, and intelligentization of transformer operation and maintenance management is realized through the chain contract which can be automatically executed.

This invention discloses a method for transmitting new media video data information based on digital technology, relating to the field of information and communication technology, including the following steps: S100, extracting semantic features from received video data frames, modeling image structure information pixel by pixel, and constructing a semantic feature map; S200, matching the semantic feature map of the current frame with the semantic feature maps of adjacent reference frames, calculating semantic offset magnitude indicators and structural disturbance change indicators, and marking interference candidate regions. This invention constructs an anomaly detection and repair closed loop based on semantic feature information maps, breaking through the limitations of traditional bit-level verification, achieving multi-dimensional feature fusion and structural consistency comparison, and possessing higher recognition accuracy and response efficiency. It can achieve accurate compensation of local abnormal regions without increasing transmission load, significantly improving the semantic stability and fault tolerance of video in complex network environments.

The invention relates to the technical field of information and communication, in particular to an artificial intelligence accounting system based on big data analysis, which comprises an employee platform, a management platform and an examination platform, the employee platform comprises an account entry module a and a reimbursement application module; the management platform comprises an account input module b, a marking module, an authenticity checking module, a primary review module and a repeatability screening module; the authenticity checking is connected with an invoice checking platform of a tax department, and the authenticity of the invoice is automatically verified after invoice information is input, so that the legality and authenticity of the invoice are ensured; in the scheme, the authenticity checking module is connected with a tax platform to check the authenticity of invoices and verify other certificates, the primary review module reviews accounts with problems, the repetitive screening module accurately identifies repetitive records by using big data, and all the modules cooperate to ensure the legality and accuracy of account data.

The invention belongs to the technical field of information communication, particularly relates to a directed network environment variance reduction distributed self-adaptive gradient tracking algorithm and system, and aims to solve the following problems in the prior art: 1) an existing distributed self-adaptive random optimization algorithm uses double random matrixes as communication matrixes and cannot be applied to directed network topology; and 2) the existing distributed stochastic optimization algorithm is limited by the property of stochastic gradient in any strong connectivity network, and the optimization precision is influenced by steady-state errors. An efficient variance reduction distributed adaptive gradient tracking algorithm-VRDAGT algorithm is provided, the algorithm combines a gradient tracking technology, an adaptive step length technology and a variance reduction technology, and eliminates steady-state errors introduced by stochastic gradients under a push-pull framework; by using the row random matrix and the column random matrix, the VRDAGT algorithm gets rid of dependence on double random matrixes, so that the applicable network topology range of the algorithm is widened. Compared with an existing algorithm, the VRDAGT algorithm has higher optimization precision and a wider application range.

This invention relates to the field of information and communication technology, and discloses a transmission signal stability detection system and method for pipeline robots. The method includes: acquiring the wireless signal transmission mode of the pipeline robot; selecting a transmission ball with the same transmission mode; pausing pipeline medium transmission; opening the inlet and outlet valves of the pipeline base station; placing several transmission balls; closing the inlet and outlet valves and resuming pipeline medium transmission; acquiring real-time data from the transmission balls; constructing a transmission dataset for each transmission ball; analyzing the transmission dataset to determine if there are any abnormal locations; when abnormal locations are found, adjusting and installing signal repeaters, repeating the placement and detection until no abnormal locations exist; determining the signal quality level at each location in the underground pipeline network based on all transmission datasets and drawing a signal strength distribution map of the underground pipeline network. This application improves the communication stability of robots in complex pipeline networks, ensures the reliability of data transmission, and reduces operational risks.

The invention belongs to the technical field of information and communication, and relates to an active user, time delay and channel joint estimation method for a low-precision receiver. The problem that when a receiver adopts a one-bit analog-to-digital converter, transmission delay and channel state estimation precision are too low due to high quantization errors is solved. Performing correlation peak detection on the received signal and the known leader sequence, and preliminarily estimating active users and transmission time delay; the nonlinear receiving model is equivalent to a linear model based on the Bussgang decomposition principle; an expectation maximization algorithm framework is adopted, related parameters are jointly estimated through inner and outer layer iteration, an inner layer constructs a factor graph model based on a Markov chain to update an equivalent channel and a user state, and an outer layer adopts a local search algorithm to update a transmission delay estimation value. The method is used for a 1-bit low-precision receiver in an asynchronous large-scale machine type communication system, and realizes joint acquisition of active user detection, transmission delay estimation and channel state information.

The invention belongs to the technical field of information and communication for management or supervision, and discloses a supplier risk identification method and system based on multi-source heterogeneous data fusion and a readable medium, and the method comprises the steps: obtaining supplier information, judging whether the supplier information is complete or not, and if yes, entering a next step; various risks existing in the supplier information are identified, and the score of each risk is calculated; calculating the weight of each type of risk, and obtaining the comprehensive risk score of the supplier according to the score of each type of risk and the corresponding weight thereof; and if the comprehensive risk score is greater than a threshold, determining that the supplier has a risk. According to the invention, omnibearing monitoring management can be ensured in the execution process of the supply chain service.

The application relates to the field of information and communication technology, and discloses a multi-intelligent-surface omnidirectional sensing integrated broadcast signal processing method and system, which comprises the following steps: a base station transmits a positioning pilot signal; a plurality of intelligent surfaces utilize beamforming technology to reflect the positioning pilot signal to a broadcast area; while constructing a virtual line-of-sight link, the data information is modulated onto the phase of the reflected wave by utilizing reflection modulation technology; a user terminal receives the reflected signals of the intelligent surfaces, constructs a factor graph model containing position information and data information, and updates the position information and the data information through iterative transmission of messages between variable nodes and factor nodes; and based on the iteratively converged messages, the joint estimation and detection results of the user position information and the data information are output. The base station only needs to transmit the positioning pilot signal, mutual interference between the positioning signal and the communication signal is avoided, the hardware architecture of the base station is simplified, and the positioning accuracy and the data detection reliability are improved.

The invention relates to the field of medical informatics, and provides an information and communication technology (ICT) used by a father-child relationship identification and / or mother-child relationship identification method and tool. An analysis process (referred to herein as LpPat) based on low depth genomic sequencing (GS) (e.g., double read depth) is provided for parent-child relationship identification and / or parent-child relationship identification (e.g., employing a triad analysis pattern and a diad analysis pattern). Down-sampling processing of reading depth is carried out on 10 groups of triplets with confirmed father-son and mother-son relations, and the optimal reading depth is doubled under the condition that other sequencing parameters are considered. The whole analysis time is less than one hour. The robust performance of the triad is verified through another 170 groups of triads (different library building methods and sequencing platforms are adopted). The algorithm analysis is based on low-depth whole genome sequencing, and provides a rapid and economic father-son relation or / or mother-son relation identification method which is not limited by a sequencing platform.

This application relates to the field of information and communication technology, and discloses a method, system, and storage medium for detecting the screen state of a screen projection sending end. The method includes: acquiring a first screen image, wherein the first screen image includes the screen image of the screen projection sending end; performing binarization processing on the first screen image to determine an effective display area, wherein the effective display area is the position of the screen image of the screen projection sending end in the first screen image; acquiring the pixel coordinates of the effective display area; calculating the width and length of the effective display area based on the pixel coordinates of the effective display area; and determining the screen state of the screen projection sending end based on the width and length. This application can realize the automatic identification of the screen orientation of the screen projection sending end at the screen projection display end, so as to automatically adjust the display screen of the screen projection display end and further improve the control efficiency of the screen projection display end.

The present invention relates to systems specifically for information and communication technology specially adapted for implementation of business processes mainly in education. More particularly, the present invention relates to an automated test bank questions classification system configured and classified using machine learning algorithms based on the RIASEC model. The invention comprises a cloud server, a database, a test bank configurable application, a teacher interface, an administrator interface, a student interface, and a plurality of modules characterized of said test bank configurable application, when executed by the cloud server, configured to generate automatically label question data under the framework executed by classification module and accumulate results through the use of test management module, and wherein said questions data being uploaded to the database.