44 results about "Information and Communications Technology" patented technology

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 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.

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.

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.

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.

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.

The application discloses a time axis key node automatic acquisition system for chest pain diagnosis and treatment, relates to the field of information and communication technology of medical data, and comprises a pre-stored interval template containing starting or ending anchor point rules; an event stream carrying chest pain patient identification and source system time stamp derived from one or more medical information systems is acquired in real time; an active interval instance in memory is created and maintained for the chest pain patient; a candidate ending event is inferred; source system time reference drift is identified, and a reliability label is attached to time-consuming data. The application realizes automatic and real-time monitoring of the time consumption of the diagnosis and treatment process. The system not only supports starting and ending anchor point matching, automatically identifies time reference drift and attaches a reliability label, but also guarantees the reliability of time-consuming data in a real complex environment without relying on strict time synchronization of the whole hospital system.

The present application relates to the technical field of information and communication technology specially applicable to supervision purposes, and particularly relates to a TOC prediction method and system based on a BP neural network, which optimizes initial weights of the BP neural network through a particle swarm optimization algorithm, combines SHAP value analysis to quantify feature importance, and realizes multi-source data fusion and high-precision prediction.The present application can improve data quality, enhance model generalization and explainability, and is applicable to various application scenarios.

The present invention relates to a waste battery pack diagnostic system comprising: a storage body having an internal receiving space to accommodate a waste battery pack separated from an electric vehicle; an environment control unit provided in the storage body to control the environment of the receiving space; a connection unit connected to the waste battery pack accommodated in the storage body; a state diagnostic module for measuring the state of the waste battery pack connected to the connection unit; an input module for inputting usage information regarding the waste battery pack connected to the connection unit; and a data analysis module for simulating the recycling status of the waste battery pack based on the usage information provided by the input module and the measurement information measured by the state diagnostic module, and determining whether the battery pack is recyclable based on the simulation results. The waste battery pack diagnostic system according to the present invention measures the condition of a waste battery pack connected to a connection part and determines whether the waste battery pack can be recycled based on the measured condition information of the waste battery pack, so even a non-expert operator can obtain a determination result of the waste battery pack more quickly and accurately. In addition, the waste battery pack diagnostic system of the present invention can prevent the spread of fire by rapidly extinguishing it through a fire extinguishing unit even if a fire occurs in the waste battery pack during the diagnostic process. This study was conducted as a result of the Regional Intelligence Innovation Talent Development Project of the Ministry of Science and ICT and the Korea Institute of Information and Communication Technology Planning and Evaluation (IITP-2023-RS-2022-00156287). This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the Innovative Human Resource Development for Local Intellectualization support program(IITP-2023-RS-2022-00156287) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation)

The invention discloses a visual perception large model distributed training method based on a general calculation fusion network, and relates to the technical field of information and communication, and the method comprises the steps: an edge server initializes and broadcasts a pre-trained general large model; receiving general large model parameters to form a local general model; the edge device continuously receives visual perception data samples, and online learning is carried out through incremental training and a sliding window mechanism; performing clustering analysis on local sample data, and classifying samples into personalized model processing samples and global model processing samples; respectively inputting the classification samples into the personalized model and the global model, and weighting and aggregating output features through a gating network; the edge device uploads the updated global model parameters to a server for aggregation, and a new global model is generated; and the edge equipment periodically receives the latest global model parameters broadcasted by the server, and iterative training is carried out until the model converges. According to the invention, high-efficiency, high-precision and high-reliability distributed model training and visual perception performance are realized.

The invention relates to the technical field of passenger and freight transportation management purpose information and communication, and aims to provide a reservation type bus passenger and freight co-transportation optimization method based on a meeting point strategy. Comprising the following steps: receiving basic transportation information of passengers and goods in a reservation mode, and analyzing a passenger and goods co-transportation meeting point generation strategy based on space-time clustering; establishing a two-stage reservation type bus passenger and freight co-transport optimization model, and seeking a path with the lowest cost on the premise of meeting a request; solving based on a genetic-tabu search solving algorithm, and iteratively optimizing a path scheme through destruction and repair operations; and finding a path scheme meeting a cost minimization target, or reaching a preset number of iterations. According to the invention, space-time coordination of passenger getting on and off and cargo loading and unloading operation is realized, vehicle detour caused by service of scattered freight requests can be effectively reduced, and the resource utilization efficiency of buses in off-peak hours and the overall operation efficiency of the system are remarkably improved on the premise of preferentially guaranteeing the travel experience of passengers.

The invention belongs to the technical field of information and communication suitable for management or supervision, and relates to a construction project dynamic cost measuring and calculating method and system based on BIM and machine learning fusion and a readable medium, and the method comprises the following steps: extracting static data from a BIM model, and generating a BIM cost model; obtaining dynamic time sequence data, and inputting the dynamic time sequence data into the LSTM prediction model to obtain a construction project cost measurement result; and generating a multi-scene cost simulation result based on the BIM cost model and the construction project cost calculation result, and outputting a key path resource consumption early warning in real time according to the multi-scene cost simulation result. According to the method, total element engineering data are borne through a BIM model, a dynamic prediction framework is constructed in combination with an LSTM neural network, and real-time early warning and optimization of the cost risk in the previous stage of a construction item target are achieved.

The application relates to the field of information and communication technology, and relates to a joint beamforming method based on end-to-end learning in a multi-RIS assisted communication system, and aims to improve the bit error rate performance of the communication system.The application provides a joint beamforming method based on end-to-end learning, wherein single reflection and double reflection links are actually considered, and a bit error rate minimization problem is formulated by jointly designing active and passive beamforming.In order to solve the non-convex problem thus generated, a new method is introduced, and the proposed multi-RIS assisted communication system is regarded as an end-to-end optimization task.Specifically, modulation, precoding, passive beamforming, combination and demodulation processes are simultaneously optimized to avoid local optimization.Simulation results show that, compared with a traditional alternating optimization algorithm, the system based on end-to-end learning in the application realizes a competitive performance gain.In addition, under the condition that the total number of reflection elements is the same, the performance enhancement of multiple RISs relative to a single RIS assisted system is verified.

The invention relates to the technical field of financial information and communication, in particular to an external customer behavior data-based file interest bearing method, device and equipment and a medium, and the method comprises the following steps: docking an external data source, acquiring external behavior data of a customer based on the external data source, and integrating the external behavior data with customer account data in a financial platform to form a multi-dimensional customer portrait; establishing a file-based interest bearing rule system based on the multi-dimensional customer portraits; the rule system defines a plurality of interest bearing dimensions, each interest bearing dimension is divided into a plurality of gears, and each gear is associated with an interest rate adjustment coefficient; according to the file-based interest-bearing rule system, acquiring the gear to which the customer belongs in each interest-bearing dimension and the corresponding interest rate adjustment coefficient, and calculating the personalized execution interest rate of the customer through a dynamic interest rate model in combination with a preset weight and a reference interest rate; and on the basis of the personalized execution interest rate, interest calculation is performed in combination with the principal and the storage period of the customer account. The value and risk of the customer are accurately evaluated, the flexibility is high, and differentiated services are provided for the customer.

The invention belongs to the technical field of information and communication, and particularly relates to an asynchronous backscattering OFDM communication receiving method based on an EM algorithm. According to the method, aiming at the situation that a plurality of BDs exist between an RF source and a PR, and the time when signals of the RF source and the BDs arrive at the PR is not synchronous, the PR obtains high-precision estimation of channels and time delays of a direct path and reflection paths of the BDs based on an EM algorithm, and data of the RF source and the BDs are recovered. The RF source sends a small amount of pilot frequency, the PR firstly obtains coarse estimation of each channel coefficient and time delay through maximum likelihood estimation (ML), then obtains high-precision estimation by using an EM algorithm and recovers data, and the provided method is low in pilot frequency overhead, high in parameter estimation and symbol detection performance and suitable for complex scenes of multi-BD access.

The application discloses an upgrading method and device of a vehicle-mounted device, and relates to the field of information and communication technologies. The method comprises the following steps: receiving first signature information and first public key information from an electronic device, and sending an upgrading package to the electronic device in the case that the first signature information and the first public key information are verified successfully. The first signature information is obtained by signing a first upgrading request with a private key of the electronic device, the first upgrading request is used for requesting an upgrading package of at least one vehicle-mounted device, the first public key information is used for verifying the identity of the electronic device, and the first public key information comprises a public key certificate of a public key of the electronic device or the first public key information comprises the public key of the electronic device. In this way, the received information can be verified whether it is tampered with through the first signature information, the identity of the electronic device can be verified through the first public key information, and the security of the upgrading of the vehicle-mounted device is ensured.

The invention belongs to the technical field of information and communication, and discloses an automatic gain control circuit and method, the control circuit comprises a signal gain regulator, an analog-to-digital converter and an energy detection module; the signal gain regulator is located at the signal receiving end of the circuit and used for regulating the amplitude or power of a received signal based on the digital control code, the analog-to-digital converter is used for converting an analog signal output by the signal gain regulator into a digital signal, and the energy detection module is used for detecting energy of the received signal. The dynamic gain adjustment of the signal gain adjuster is controlled through a state machine, the signal gain adjuster comprises a numerical control attenuator and a low-distortion operational amplifier, and the numerical control attenuator and the low-distortion operational amplifier are adopted to construct the signal gain adjuster, so that the automatic gain control circuit realizes a dynamic adjustment range from-11.75 dB to + 20 dB, and the dynamic gain adjustment range of the automatic gain control circuit is greatly improved. The whole frequency spectrum from weak signals to strong signals is covered, and input of signals with different intensities can be flexibly coped with.

The system and method for integrating consumer application software systems and data storage infrastructure relate to the field of information and communication technologies. The essence of the invention consists of the following essential features: a central computer station with a proxy server that checks the compliance of downloaded files with the declared data types and supports work with accounts; virtualization; dynamic aliases; a built-in macro filter; a hybrid infrastructure; custom Python at runtime; fault-tolerant Master-Master replication with Snapshot recovery; Deep Copy and integrity protection of Rich Text assets; A virtual S3 aggregator with dynamic permission mapping; system integration; and the use of a Copy-on-Write infrastructure. The objective of the invention is to create the most functional intelligent gateway between consumer applications and the physical storage infrastructure. The technical result is an increased level of security, dynamic transformation, and delivery of S3 gateway content.

Embodiments of the present application disclose an electronic device, which can be applied in the field of information and communication technology, and can be in the form of a computing device such as a server, a communication device such as an optical communication device, etc., comprising a device to be cooled and a cooling device. The device to be cooled can be, for example, an optical communication component. The device to be cooled comprises two surfaces to be cooled, which are oppositely arranged along a first direction. The cooling device comprises at least two liquid cooling plates. The device to be cooled is provided with the liquid cooling plates on both sides along the first direction, and the liquid cooling plates can be internally provided with liquid cooling working medium in the form of water-based working medium, fluorinated liquid, etc., and the two surfaces to be cooled are both cooled by the liquid cooling plates. The device to be cooled in the electronic device is provided with the liquid cooling plates on both sides along the first direction, so that one device to be cooled can be cooled by at least two liquid cooling plates, the number of the liquid cooling plates can be increased, and the cooling effect of the device to be cooled can be better.

The invention relates to a bean product production whole-process quality management system, and belongs to the technical field of information and communication suitable for management purposes. The system comprises a multi-modal data acquisition network, a data fusion and intelligent decision center and a control instruction issuing module, temperature, humidity, vision and spectral data are acquired through combination of an in-tank wired sensing array and an out-tank monitoring terminal, a three-dimensional temperature field model is generated through Kalman filtering fusion, and fermentation quality is predicted based on a deep learning model. And the rotating speeds of the refrigeration valve and the fan are dynamically adjusted, so that full-flow closed-loop quality control and batch quality consistency improvement are realized.