42results about How to "Improve real-time efficiency" patented technology

A method and system for improving the efficiency of real-time and non-real-time speech transcription by machine speech recognizers, human dictation typists, and human voicewriters using speech recognizers. In particular, the pacing with which recorded speech is presented to transcriptionists is automatically adjusted by monitoring the transcriptionists' output by comparing the output acoustically or phonetically to the presented recorded speech as well as monitoring the resulting transcription, and accordingly adjusting the pacing.

The invention provides a method and device for pushing mobile internet content based on user preference for obtaining internet content preference information of a user according to access of the user and pushing pointed content to the user according to the preference information. The method for pushing the mobile internet content based on the user preference comprises the steps that first information to which the user has access is obtained according to the access behavior of the user; the network content relevant to the first information is classified to obtain second information; the preference of the user is graded according to the second information to obtain the preference information of the user, and the network content corresponding to the preference information is pushed to the corresponding user according to the preference information. By means of the technical scheme, the preference information of the user is obtained through the network, the potential customers can be located according to the preference information, and the efficiency of popularizing the network service is improved.

The invention discloses a re-entry attitude control method of a reusable launch vehicle (RLV), and aims at solving the technical problem of an existing method that the distribution efficiency of an RCS (Reaction Control System) instruction is low. According to the technical scheme, the re-entry attitude control method comprises the following steps: firstly, designing all combinations in all control directions of all thrusters in all control directions of an RCS; adopting an integer linear planning method to realize real-time instruction distribution in a determined required moment direction combination; solving the integer planning method by using a genetic algorithm. Control instruction distribution of the RCS is converted into a dimension-lowering integer linear planning method; compared with a background technology, the requirements of the RLV re-entry attitude control are combined; the amplitudes of the thrusters and the fuel combustion of the RCS are considered, and an offline design optimal table is not needed under the condition that the thrusters have the fault, so that the complexity of the thrusters is reduced; the real-time efficiency of the RCS instruction distribution is improved through the dimension-lowering treatment; the RCS fault reconstruction of minimum RCS energy consumption and instruction moment tracking errors is realized.

The invention belongs to the technical field of image processing, and discloses a breast cancer image recognition method based on multi-stage multi-feature deep fusion, and the method comprises the steps: extracting the Gist, SIFT, HOG, LBP, VGG16, ResNet and DenseNet features of an image from multiple angles of shape, texture and deep learning; deeply mining cross-modal pathological semantics contained in different features; performing feature fusion through early fusion, middle fusion and post fusion; constructing a multi-stage multi-feature fusion model integrating early fusion, middle fusion and post fusion; and classifying, identifying and processing the breast lumps and outputting a processing result. According to the method, traditional features and deep learning features of mammography images are extracted, cross-modal pathological semantics among different features are deeply mined, and a multi-stage multi-feature fusion strategy is designed to complete breast cancer image recognition. Meanwhile, the dimensionality of the core features is compressed to improve the real-time efficiency of the diagnosis model.

The invention discloses a data baud rate adaptive digital-analogue conversion device. The data baud rate adaptive digital-analogue conversion device comprises a plurality of parallel transceivers, a data isolator, a complex programmable logic device (CPLD) data processing module and a plurality of parallel digital to analog converters, wherein the plurality of parallel transceivers correspondingly receive a plurality of nonstandard RS 485 differential signals with different baud rates, and then convert the differential signals into transistor-transistor logic (TTL) signals; the data isolator isolates the TTL signals and then outputs the TTL signals; the CPLD data processing module performs synchronization and data decoding on the different baud rates of the isolated TTL signals; and the plurality of parallel digital to analog converters perform analogue conversion on the decoded data. The data baud rate adaptive digital-analogue conversion device solves the problems of sampling and decoding identification of the plurality of nonstandard RS 485 differential signals with the different baud rates and enlarges an input range of the signals by taking the CPLD data processing module as a core. By using a parallel processing structure of the CPLD data processing module, and channels of input signals are convenient to extend; the real-time efficiency of data processing is improved; and the conversion of multi-channel digital signals to analog signals is further realized by matching the plurality of parallel digital to analog converters. The data baud rate adaptive digital-analogue conversion device has the advantages of high adaptability, high integration level, stability, reliability and low equipment cost and is convenient to use.

The invention discloses a real-time exchange method of distributed experimental data. The method involves an initiator, a receiver and a processor of data, and comprises the following steps: creatinga system model file, requesting a local model file, updating a local model data structure, initiating data update, refreshing an update queue, receiving data update, forwarding the data update, and receiving the data. According to the real-time exchange method of distributed experimental data, a part of the technical features of OPC and DDS is absorbed, a lightweight unified hardware and softwareinterface, a common data exchange process and a consistent data management architecture are provided, so that various kinds of tested and test equipment (comprising physical equipment and software systems) can be very lightly integrated and freely exchange data. The system interface is simple, the configuration and deployment are convenient, and flexible and varied test site requirements can be better adapted to.

The invention discloses an intelligent constructing system based on CPS (Cyber-Physical Systems). The intelligent constructing system comprises a consumer personalized customization module, a productdesign decision-making and learning module, a factory production decision-making and learning module, a supply chain decision-making and learning module, a site construction decision-making and learning module, a delivery-and-operation-and-maintenance decision-making and learning module, a factory production perceiving and executing module, a supply chain perceiving and executing module, a site assembly perceiving and executing module, a delivery-and-operation-and-maintenance perceiving and executing module, a product design knowledge base, a factory production knowledge base, a supply chain knowledge base, a site construction knowledge base and a delivery-and-operation-and-maintenance knowledge base, wherein the consumer personalized customization module, the product design decision-making and learning module, the factory production decision-making and learning module, the supply chain decision-making and learning module, the site construction decision-making and learning module and the delivery-and-operation-and-maintenance decision-making and learning module belong to the virtual world; the factory production perceiving and executing module, the supply chain perceiving and executing module, the site assembly perceiving and executing module and the delivery-and-operation-and-maintenance perceiving and executing module belong to the physical world; the product design knowledgebase, the factory production knowledge base, the supply chain knowledge base, the site construction knowledge base and the delivery-and-operation-and-maintenance knowledge base belong to the knowledge world. According to the intelligent constructing system based on the CPS, the intelligent computation and analysis capacity of a computer is used for replacing manual empirical judgment or decision,full industry chain designing is achieved, decision-making mistakes in the building construction process are reduced, unnecessary production waste is reduced, the construction period is shortened, the invest is reduced, and the real-time efficiency of building construction engineering is improved.

The embodiment of the invention discloses a health management platform based on a household intelligent robot and an application of the health management platform. The health management platform basedon a household intelligent robot comprises a cloud server, a server robot, and terminal equipment, wherein the cloud server is an information acquisition and storage device; a master control system and a communication system are arranged in the service robot; health management software is installed in the master control system; the master control system is used for controlling displaying, operation, recognition, interaction and network communications; the terminal equipment is a portable terminal with a client, and is used for displaying and operating information contents; the server robot isconnected with the cloud server through a gateway; the cloud server is connected with terminal equipment in a dual-direction communication manner; and the cloud server is connected with a control center. According to the health management platform based on a household intelligent robot disclosed by the invention, through cooperation between the systems, acquisition, operation and storage of information and instant communication service are realized, and the real-time efficiency of health management is effectively improved.

The invention discloses a real-time synchronization method and system based on data, and relates to the technical field of data synchronization. The system comprises a control module, a change capturemodule, a message queue module, a data synchronization module and a Schema management module, the control module defines and starts a synchronization task; the change capture module captures changeddata of the source database and encodes the data into a synchronous message according to a synchronous message Schema template; and sending the synchronization message to a message queue module, pulling the unconsumed synchronization message in the message queue module by the data synchronization module, analyzing and verifying the synchronization message according to source table Schema information in the Schema management module, assembling the synchronization message into a target database command, and sending the target database command to execute.

The invention relates to the technical field of information, and discloses a cooperative processing method based on remote subtitle push control, which comprises the following steps: S1, establishinga manually maintained subtitle control library based on subtitle content, a time axis and a transceiver terminal, and establishing a subtitle control library based on the subtitle content and the timeaxis in combination with communication between a server side and a client side in a local area network; so that the requirements of remotely pushing and controlling the subtitle display time, the subtitle switching time and whether highlight display exists or not to each operation site by a main control terminal are met; enabling terminal personnel of the main control end to take in charge; operation personnel to perform field operation according to the caption prompt to form a working scene of one-master multi-slave, efficient cooperative and staggered cooperative operation; partitioning subtitle content according to dimensions such as operation steps, personnel responsibilities and field conditions. According to the cooperative processing method based on remote caption push control, theefficiency of multi-party cooperative work is improved on the basis of safety and effectiveness, the safety of overall cooperative work is improved, and the real-time high efficiency of cooperative office is improved.

The invention relates to a monitoring state index compression analysis method of an IT (Information Technology) system. According to the characteristics of equipment that a state is seldom changed and a repeat probability is high, a data recording format suitable for storing and analyzing states according to time points is designed, and a compression and analysis algorithm matched with the data recording format is also designed. The monitoring state index compression analysis method comprises the following steps: receiving equipment state index data; inquiring a latest index record of the equipment; comparing the new record and the old record, and updating a historical index library according to a result; and through the historical index library, inquiring the change situation of the equipment state. The monitoring state index compression analysis method has the beneficial effects that the problem of big data processing performance generated during state index monitoring state collection and processing in an IT system monitoring field can be effectively solved, the storage problem of mass data under large-scale surveillance is solved, meanwhile, the real-time efficiency of upper-layer reading data is improved, and a data analysis period is shortened.

The invention provides a temperature drift compensation method for gyroscope. The method comprises the following steps: 1) collecting temperatures of the gyroscope and angular velocity data of three axis of the gyroscope under a stable state; 2) carrying out sorting according to the temperatures to divide the temperatures into a plurality of intervals with a equal interval; 3) carrying out equivalent sampling for the angular velocity data within the intervals; 4) calculating arithmetic means for the sampled angular velocity data in each temperature interval, and adopting the arithmetic means as angular velocity representative values; 5) carrying out linear fitting for numerical value pairs of the temperature and the zero angular velocity through a linear fitting formula of y=a+bx to obtain values of a parameter a and a parameter b, wherein the x represents the temperature, the y represents the zero value; 6) measuring the angular velocity values and the temperature values of the threeaxis of the current gyroscope, and calculating the zero value through the linear fitting formula, then subtracting the zero value from the measured angular velocity values to complete the temperaturedrift compensation of the gyroscope. The method is applicable for a temperature drift compensation correction condition of general gyroscopes and can provides a compensation factor without a plurality of tests and emulations, and is simple and available.

The invention discloses a construction method for a 3D dynamic visual simulation platform for multimode navigation. The method comprises the following specific steps: a human-computer interaction platform is constructed on the basis of MFC (Microsoft foundation classes) in VC++ and OSG 3D rendering engine environment, a 3D digital earth scene and natural environment are rendered with an OSGEarth terrain rendering toolkit, and a 3D model of an airplane and a virtual simulation scene model of an airport are established with 3D modeling software and loaded to the 3D digital earth scene. Key point data of a flight line is acquired, and interpolation way point data is obtained through processing and used for driving flight of the airplane. During flight of the airplane, a rover is used for tracking and observing the airplane, flight data of the airplane is updated by an event processor, and the flight data is displayed in real time. The construction method has the advantages of easiness in secondary development, real timeliness and high efficiency, and increases the real-time efficiency of data display.

The invention provides a chain dependence analysis method and system for a directed acyclic graph, and the method comprises the following steps: detecting whether a previous batch task of a current batch is completed or not through a global scanner; If the previous batch of tasks are completed, instantiating all tasks of the current batch; Running all root node tasks; Judging whether all root nodetasks normally run or not; If all the root node tasks are normally operated, monitoring and operating all subsequent tasks to which respective root node tasks belong through a node scanner; And if all the root node tasks of the current batch and the subsequent tasks to which the root node tasks belong are normally operated, running the subsequent batch. Under the condition that server resources are limited, high-efficiency analysis on DAG chain dependence and real-time performance of task execution are achieved, when the current batch runs, only follow-up tasks are monitored in real time through the node scanners, scanning operation is few, and real-time efficiency is high.

The invention relates to a rapid synchronous display method and system and a device connected with the system. When the device accesses the rapid synchronous display system, the device synchronously interacts with a controller, and information to be displayed is displayed on split screens or a full screen. The device can be connected with the rapid synchronous display system at any time according to a display requirement. Moreover, influences among devices are avoided; plug and play of a plurality of devices is realized; and the display cost is lowered.

The invention discloses a management system, and a trinity management method of commercial refrigeration equipment. An aluminum card is arranged on the commercial refrigeration equipment, and a corresponding asset serial number is arranged on the aluminum card; a Bluetooth communication module and a remote positioning module are arranged on the commercial refrigeration equipment, the Bluetooth communication module is adapted to inspection scanning equipment, and the Bluetooth communication module cooperates with the inspection scanning equipment to generate a patrol inspection positioning location; an IMEI number is deployed on the remote positioning module, the commercial refrigeration equipment is installed, and the remote positioning module generates an automatic positioning location; and the Bluetooth communication module and the remote positioning module are both in communication connection with a management server. The patrol inspection positioning location is generated by scanning the Bluetooth information of the refrigeration equipment, the property that the effective range of the Bluetooth signal is less than 50 meters is fully utilized, and it is defined that the patrol personnel must be actually on the scene to realize patrol inspection, thus ensuring the credibility of the data, the labor cost of patrol inspection can be reduced by the adoption of remote automatic positioning, and the real-time efficiency of asset supervision can be improved.

The invention provides a big data based bid native advertisement reward system for positioning a user in real time. A data acquisition center continuously acquires initial user data in a time dimension to form available user data; a service management center configures user characteristics of the available user data and model parameters; a data analysis center, according to the model parameters of the service management center, carries out corresponding user data proofreading and analyzing in multilayer dimensions to form a user data sample; and an advertisement intelligent putting engine carries out optimization training on the user data sample through a genetic algorithm to form optimized user data and putting advertisement data of the advertisement data portion of the data analysis center for the optimized user data. The invention simultaneously provides a reward method of the big data based bid native advertisement reward system for positioning the user in real time. The system and the method provided by the invention improve the real-time efficiency of big data, enhance the advertisement value influences of advertisers, and have the advantages of focus orientation, directionality, interactivity and the like.

The invention provides an intelligent home security protection system. The intelligent home security protection system comprises a front-end data acquisition platform, a threat grading calling platform, a threat information timing screening platform and an automatic updating platform, The front-end data acquisition platform is used for carrying out data information acquisition on the smart home equipment; The threat grading calling platform is used for carrying out threat grading judgment on the collected data through a data analysis result and adopting different response strategy calling modes according to a judgment result; The threat information timing screening platform is used for starting threat data screening on the data information in a timing manner, and uploading the threat datato the threat grading calling platform when the threat information is screened; And the automatic updating platform is used for regularly starting data backup and data updating on the data information. According to the invention, when the smart home is attacked illegally, the smart home is started in time and an applicable strategy is called orderly in real time to cope with the illegal attack, so that the stability and safety of the smart home are ensured.

The invention discloses a staged fault diagnosis method, relates to the field of power system fault comprehensive processing, and solves the problems of low pertinence and low efficiency of real-timecomprehensive analysis and data acquisition of power grid faults with multiple data sources and multiple parallel algorithms in a power grid fault diagnosis system. The system comprises a rapid faultdiagnosis subsystem and a recording information fault analysis subsystem. The fault information group management module realizes data sharing among the core analysis subsystems by adopting a fault information group technology and solves the coordination problem among the analysis subsystems which operate independently. Real-time comprehensive analysis of power grid faults with multiple data sources and multiple parallel algorithms is realized and the pertinence and the efficiency of analysis and data acquisition are improved.

The invention discloses a reading identification method for a single-pointer instrument based on shale gas field production relates to the field of instrument intelligent identification, and aims to convert a blurred mechanical instrument dial image shot by a camera on a production site from an RGB space to an HSV space, and then perform cyclic traversal on V channel data of an image space to obtain a mechanical instrument dial image. A pattern spot boundary is detected and searched under each V value; A central rectangle of a mechanical instrument sub-image is crated and a formed pattern spotboundary is filtered. then, the filtered pattern spot boundary is subjected to length-width ratio constraint, the pattern spot boundary comprises central rectangular central point constraint, and then mechanical instrument pointer boundary positioning is carried out; and finally, the found pointer boundary is subjected to straight line fitting, deflection angle calculation and instrument readingcalculation, so that data reading of the mechanical instrument dial plate is realized by directly using a monitoring camera in a production field, and compared with an existing intelligent identification method, the accuracy of identifying a fuzzy picture is higher.

The invention relates to a monitoring state index compression analysis method of an IT (Information Technology) system. According to the characteristics of equipment that a state is seldom changed and a repeat probability is high, a data recording format suitable for storing and analyzing states according to time points is designed, and a compression and analysis algorithm matched with the data recording format is also designed. The monitoring state index compression analysis method comprises the following steps: receiving equipment state index data; inquiring a latest index record of the equipment; comparing the new record and the old record, and updating a historical index library according to a result; and through the historical index library, inquiring the change situation of the equipment state. The monitoring state index compression analysis method has the beneficial effects that the problem of big data processing performance generated during state index monitoring state collection and processing in an IT system monitoring field can be effectively solved, the storage problem of mass data under large-scale surveillance is solved, meanwhile, the real-time efficiency of upper-layer reading data is improved, and a data analysis period is shortened.

This invention discloses a method for obtaining listener mobile station information by a network side in the process of multi-call / multicast suitable for the cluster communication system based on the public network, in the multi-call / multicast region of the network side, a specialized control channel assigned by the local area is used in reporting information by the listener mobile stations in the group, which is shared by all mobile stations in the group, after setting up a multi-call / multicast, the time slot is used as the assigning unit in an assigned special control channel to distribute time slot sub-channels for it, the listener mobile stations in the group reports AB to the network side at different positions, which gets information of the mobile stations in the group based on the AB.

The embodiment of the present invention discloses a mobile substation monitoring and alarming system and method, including a monitoring management center and a UI management workstation. The monitoring management center adopts a B / S technology architecture mode to conduct a unified analysis of the substation network communication data information through a network probe and management, the network probe interacts and communicates with the UI management workstation through the scheduling data network, the UI management workstation obtains data from the monitoring management center and provides a human-computer interaction interface in the form of WEB, and the monitoring management center A network abnormality alarm module is set inside, and the network abnormality alarm module is connected with a data strategy management module through a network probe. The system can realize the automation of the entire power monitoring system, so that faults can be discovered as early as possible and solved accordingly. Improve the real-time efficiency of system troubleshooting.

The invention relates to the technical field of medical devices, and discloses a telescopic and reversible transfer device for cardiology nursing, which includes a transfer bed body, a balance detection assembly, an upper body fixed bed board, a lower body fixed bed board and a height adjustment assembly. A balance detection component is fixedly connected inside the bed body, and the balance detection component detects whether the transfer bed body is in a horizontal state during the movement. The telescopic and flipping transfer device used in cardiology care, the electrostrictive shaft is energized and stretched to drive the first adjustment rack to move upward, and the driving belt drives the driven gear to rotate synchronously, so that the second adjustment rack moves downward, so that The core height of the upper body fixed bed board is moderately higher than the core height of the lower body fixed bed board. Compared with the existing transfer equipment, the present invention can automatically adjust the height without manual adjustment, saving time and effort, and has high real-time efficiency, which improves the transfer process. patient safety.

The present invention provides a directed acyclic graph chain dependency analysis method and system, wherein the method includes the following steps: using a global scanner to detect whether the previous batch tasks of the current batch have been completed; If the sub-tasks have been completed, instantiate all tasks in the current batch; run all root node tasks; judge whether all root node tasks are running normally; if all root node tasks have all run normally, pass the node scanner Monitor and run all subsequent tasks to which the respective root node tasks belong; if all the root node tasks of the current batch and the subsequent tasks to which they belong have all completed normal operation, the subsequent batches will be run. In the case of limited server resources, the present invention can efficiently analyze DAG chain dependencies and real-time task execution. When the current batch is running, only follow-up tasks can be monitored in real time through the node scanner, and its scanning operations are less, real-time Higher efficiency.

The invention discloses a module combined type batching control system which comprises a power supply communication board, a CPU (Central Processing Unit) main control board, an analog quantity input board, a switching value input board, a switching value output board, a wireless communication board and an aluminum alloy shell, the power supply communication board, the CPU main control board, the analog quantity input board, the switching value input board, the switching value output board and the wireless communication board are integrated in an aluminum alloy shell, and all modules in the aluminum alloy shell adopt a double-row pin insertion combination mode. Compared with a one-master and multi-slave control mode, the control system has the advantages that the acquisition delay time from the input signal acquisition module to the CPU main control board is shortened, the rate of issuing data to each execution module by the CPU main control board is increased, the real-time efficiency of the whole control system is improved, and the control system is suitable for popularization and application. The comprehensive response speed of equipment is improved.

The invention discloses a re-entry attitude control method of a reusable launch vehicle (RLV), and aims at solving the technical problem of an existing method that the distribution efficiency of an RCS (Reaction Control System) instruction is low. According to the technical scheme, the re-entry attitude control method comprises the following steps: firstly, designing all combinations in all control directions of all thrusters in all control directions of an RCS; adopting an integer linear planning method to realize real-time instruction distribution in a determined required moment direction combination; solving the integer planning method by using a genetic algorithm. Control instruction distribution of the RCS is converted into a dimension-lowering integer linear planning method; compared with a background technology, the requirements of the RLV re-entry attitude control are combined; the amplitudes of the thrusters and the fuel combustion of the RCS are considered, and an offline design optimal table is not needed under the condition that the thrusters have the fault, so that the complexity of the thrusters is reduced; the real-time efficiency of the RCS instruction distribution is improved through the dimension-lowering treatment; the RCS fault reconstruction of minimum RCS energy consumption and instruction moment tracking errors is realized.

The invention discloses a harvester operation progress dynamic monitoring system which comprises a data acquisition module, a positioning module, a data processing module, an alarm module, a communication module and a terminal. An angle sensor of the data acquisition module acquires angle data to judge whether the harvester is in a harvesting operation state or not. The positioning module receivesthe positioning information of a Beidou satellite, performs real-time positioning monitoring on the harvester, and sends data to the terminal through the communication module; the terminal calculatesthe operation progress of the harvester through a progress monitoring algorithm, and completes a dynamic monitoring task; and fault alarm is given through the alarm module. The harvester operation progress dynamic monitoring system is easy to assemble and disassemble, convenient to maintain, low in cost, high in monitoring accuracy, high in real-time efficiency and convenient to apply and popularize.