908results about How to "Solve real-time" patented technology

The invention belongs to crossing field of computer vision and intelligent robots and discloses a variational mechanism-based large-area indoor scene reconstruction method. The method comprises the following steps: step 1, acquiring calibration parameters of a camera, and building an aberration correcting model; step 2, building a camera position and gesture depiction and camera projection model; step 3, utilizing an SFM-based monocular SFM (Space Frequency Modulation) algorithm to realize camera position and gesture estimation; step 4, building a variational mechanism-based depth map estimation model, and performing solving on the model; and step 5, building a key frame selection mechanism to realize three-dimensional scene renewal. According to the invention, an RGB (Red Green Blue) camera is adopted to acquire environmental data, and a variational mechanism-based depth map generation method is proposed through utilizing a high-precision monocular positioning algorithm, so that quick large-area indoor three-dimensional scene reconstruction is realized, and problems of three-dimensional reconstruction algorithm cost and real-time performance are effectively solved.

The invention discloses a method for scheduling satellite data product production tasks in parallel based on multithread. The method comprises the following steps: setting priorities for tasks to be scheduled for executing and realizing a uniformed interface; adding the tasks into a priority queue according to an order of the priorities from high to low; setting the maximum number and the minimal number of the tasks of a thread pool, and the longest idle time of a thread; and starting a daemon thread in the thread pool and a plurality of task threads to execute the tasks, wherein the daemon thread regulates the number of the task threads dynamically according to the situation of task amount. The method can utilize system resource rationally, aims at the data product production of a satellite ground application system, and solves the difficult points of complicated product production processes, long task executing time, large task amount, high real time and parallelism degree for scheduling the tasks and the like.

The invention provides a network access control method and system based on IP access behaviors. The method includes: after a Web request sent by a client is acquired through a router, the Web request is sent to a behavior analyzing server; data in the Web request are extracted by the behavior analyzing server and a corresponding user IP and a behavior record of the user IP are generated and whether the Web request is a normal request is judged according to the behavior record; if the Web request is a normal request, then the Web request is forwarded to a corresponding service server and if not, then a response refusing the Web request is sent to the client so that access control on unknown IPs can be carried out dynamically and problems such as low efficiency, tedious configuration and poor dynamic instantaneity and the like in traditional IP access control are solved. At the same time, the network access control method and system also aim at restraining network attacks, regulating crawler behaviors, improving website or API service qualities and enhancing website stability and usability.

The invention discloses a government affair information resource sharing system based on a block chain, and belongs to the technical field of information sharing based on the block chain. By combiningP2P network, the cryptology and the artificial intelligence theory, the overall model architecture based on the block chain technology is provided, so that a government affair information resource sharing and exchange network system, a government affair information resource sharing and exchange block chain directory system, a certificate and trust system and an information resource sharing security intelligent exchange system are constructed. The government affair information sharing and exchanging system effectively solves the problems of trust islands, data ownership, peer-to-peer management, standard consistency, non-real-time exchange and the like in government affair information resource sharing application, and is high in safety, trustable, real-time exchange, data standard consistency, traceability and wide in sharing range.

The invention provides a news recommendation system and method based on an FOLFM model. Based on a content recommendation method, a news content model is expressed abstractly through a latent class model and content characteristics, and an individual latent class preference model is built for each user. Real-time training is carried out on a real-time behavior record of a user to obtain preference, on certain latent class news, of the user, whether the news is recommended to the user is determined through calculation, and a final news recommendation list is obtained after a series of processing processes. The news recommendation system and method based on the FOLFM model deeply excavate the interest of the user, improve recommendation accuracy and satisfaction of the user, avoid a cold starting problem of the news, and guarantee performance under the condition that the recommendation effect is improved as much as possible. The experiment shows that the news recommendation system and method based on the FOLFM model not only guarantee the requirements for high accuracy and high speed, but also realize visual real-time recommendation for the user.

The invention relates to a dual-network routing method. The method comprises the following steps: nodes are initialized to establish routing registry connection and generate a routing list; a first communication link is adopted for transmitting data, and the first communication link is preferentially switched to a second communication link to continue to transmit data in the case of communication link interrupt. The first communication link is a wireless communication link, the second communication link is a power line communication link, and vice versa. The method has the advantages that higher communication reliability and carrier class reliability are realized, communication real-time property is guaranteed, and the technical problem of signal island in the prior art is solved.

A regional public opinion monitoring and decision-making auxiliary system based on big data comprises an information acquisition and storage module, a data pre-processing module, a big data public opinion analysis module, a public opinion monitoring, early warning and decision-making auxiliary module and a background management module, wherein the information acquisition and storage module is used for carrying out structuralized storage management on acquired public opinion source information to form a regional big data public opinion knowledge base which is updated in real time; the data pre-processing module is used for pre-processing data in the regional big data public opinion knowledge base to form a complete and ordered data set; the big data public opinion analysis module is used for carrying out public opinion analysis and tendency prediction on hot topics with appointed conditions and the like to obtain a public opinion analysis and tendency prediction result; the public opinion monitoring, early warning and decision-making auxiliary module is used for carrying out real-time monitoring and tracking, management and persuasion on customized public opinions dug and analyzed by sensitive word pairs in a pre-defined sensitive word bank, and announcing the customized public opinions to a decision maker in manners of in-station messages, short messages and mails; and the background management module is used for carrying out public opinion information classification management, user and authority management, keyword management, acquisition management, content management, special topic management and analysis report management.

The invention relates to an intelligent container or the analogs thereof, which is technologically characterized in that the invention consists of two parts of the installation power and an intelligent terminal with an entrance guard and an electronic lock (an intelligent lock) which is built-in arranged in an antenna integration; by combining with a lifting device, the invention is provided with an intelligent container with a function of lifting self-loading and unloading or the analogs. By integrated application of the technology such as the intelligent terminal combining with satellite positioning, the wireless communication, the RFID radio frequency identification, the network and the computer calculation, the real-time performance, the controllability and the security of freight transportation in the container can be solved and extend to a client as a temporary warehouse, which saves the automobile resources and waiting time and realizes the freight path information management which is a highest level of logistics business that anyone loads or unloads the freight anywhere and at anytime, the freight is in any location and in any status, the recording and monitoring of the freight environmental status in transporting the freight and the freight information and flow business can be inquired, traded and stowage planned on the network.

The invention discloses an intelligent electrical equipment environment monitoring system based on cloud computing and big data analysis. The system comprises a cloud server, an intelligent master control device, monitoring devices and communication equipment communicating with the cloud server, wherein the monitoring devices are used for acquiring related data of an electrical equipment environment and transmitting the data to the intelligent master control device; the intelligent master control device is used for controlling the monitoring devices and transmitting the data received from the monitoring devices to the cloud server; the cloud server is used for receiving and storing the related data of the electrical equipment environment; a user accesses the cloud server through a mobile phone or a computer and then controls the master control device and the monitoring devices remotely. The system depends on cloud computing to perform big data analysis on online meteorological information, real-time data and historical data, intelligently monitors the monitoring devices of all nodes, evaluates the monitoring effectiveness, analyzes potential risks effectively and solves problems by which people are puzzled for many years about outdoor electrical equipment microenvironments, online micrometeorology monitoring, real-time intelligent control and the like.

The invention relates to a webpagehanging trojan detecting and protecting method and a webpagehanging trojan detecting and protecting system, as well as a method for extracting a corresponding code. The system injects a section of script code for automatically extracting a tag into an intercepted Web page and sends the Web page to a client side; the client side runs the script code, extracts the code of the tag related to the webpage hanging horse, and sends the code and a URL (Uniform Resource Locator) of the Web page to the system; and the system can match a URL to be detected with a safe URL in a corresponding baseline, if match is failed, abnormal detection is carried out on the URL to be detected, so that the security level is confirmed. The webpagehanging trojan detecting and protecting method and the webpagehanging trojan detecting and protecting system as well as the method for extracting the corresponding code have small dependence on the environment, failure in report can be reduced, and the code of the tag can be effectively extracted.

The invention requests to protect a micro-embedded type real-time task scheduler and a scheduling method, relating to the industrial control and intelligent instrument related field. When the scheduling method of the invention is used in scheduling process, the status of a task is marked through the set of a task status word in a task control block; the scheduler determines the scheduling of the task and drives the scheduling through a clock and an event; real-time request is realized by adopting a mode of combining a simplified kernel code, a deprivable kernel and interrupt; a multipurpose mode of adopting a status word to realize ready, suspension and time delay counting reduces task execution codes, simplifies scheduling algorithm and reduces kernel codes; a scheduling lock mark is added to the task control block, and users can lock or unlock in the task according to specific needs. The scheduler solves the problems existing in the prior programming mode of middle-low grade intelligent instruments and meters, meets the requirements on real-time performance, low power consumption and small kernel, and improves programming efficiency as well as code portability.

The invention discloses a fast monocular vision odometer navigation and positioning method fusing a feature point method and a direct method, which comprises the following steps: S1, starting the vision odometer and obtaining a first frame image I1, converting the image I1 into a gray scale image, extracting ORB feature points, and constructing an initialization key frame; 2, judging whether thatinitialization has been carry out; If it has been initialized, it goes to step S6, otherwise, it goes to step S3; 3, defining a reference frame and a current frame, extracting ORB feature and matchingfeatures; 4, simultaneously calculating a homography matrix H and a base matrix F by a parallel thread, calculating a judgment model score RH, if RH is great than a threshold value, selecting a homography matrix H, otherwise selecting a base matrix F, and estimating a camera motion according to that selected model; 5, obtaining that pose of the camera and the initial 3D point; 6, judging whetherthat feature point have been extracted, if the feature points have not been extracted, the direct method is used for tracking, otherwise, the feature point method is used for tracking; S7, completingthe initial camera pose estimation. The invention can more precisely carry out navigation and positioning.

The invention provides a public information intelligent analysis platform based on big data analysis and mining. The public information intelligent analysis platform comprises a big data preprocessing module, an intelligent analysis module and an information presentation module. The big data preprocessing module is used for storing and preprocessing enterprise information via a clouded mode. The intelligent analysis module is used for performing event cause and effect analysis, assessment of the overall situation of the company and future trend prediction and returning analysis results to an upper layer by comprehensively utilizing the preprocessed data according to data analysis tasks transmitted by the upper layer. The information presentation module is used for generating the data analysis tasks to the intelligent business analysis module and receiving the returned results, presenting the analysis results of the intelligent analysis module and providing an operation interface to a user. Intelligent analysis is performed on mass data in enterprise operation by adopting a clustered computing method via flexibly establishing and configuring analysis models so that problems of poor real-time performance, high effectiveness and interactivity of a conventional data processing method are solved, the user is assisted to perceive the enterprise situation in real time and thus enterprise management efficiency and business processing level are enhanced.

The invention provides an ultra-high-definition panoramic video real-time generation and multi-channel synchronous play system, and relates to the technical field of panoramic camera shooting. According to the system, on the basis of camera array imaging and collecting and by means of GPU high-speed parallel processing characteristics, the high-definition image real-time splicing, correcting, dimming, code compressing and transmission functions are achieved, a multi-channel panoramic multi-camera and an application system of the multi-channel panoramic multi-camera are designed, appropriate reprojection models are selected in a self-adaption mode for different shooting modes such as the cylindrical surface shooting mode and the spherical surface shooting mode, the problems that existing panoramic camera shooting devices in China are generally not high in stability, low in resolution, poor in expansibility, short of instantaneity and the like are successfully solved, the highest product resolution can reach 4320 p to 12960 p, and the frame rate is 30 fps.

The invention relates to the distributed data processing technology field and particularly relates to a system and a method for guaranteeing distributed data processing consistency. The system comprises a computer transaction system platform. The computer transaction system platform comprises multiple transaction platforms for transaction business processing, a host in a transaction host is taken as a main node, other nodes are taken as standby transaction machines, the main node is for processing tasks of all orders and further for log record, maintenance and triggering basic data synchronization of secondary nodes, the secondary nodes do not carry out real-time order processing but realizes consistency with the main node through synchronization maintenance of basic data memory. Compared with the prior art, the system is advantaged in that a log structure with a message execution state is employed; a problem of time delay conflict of real-time reading and updating of the basic data of the transaction system can be solved; complexity of replay of the transaction system is reduced; consistency during data processing between platforms and switching between main and standby machines, system performance and reliability are improved.

The invention provides a real-time interactive control method of a virtual object. The method comprises the steps of: detecting whether first remote action driving data are received, wherein the the first remote action driving data comprise at least one of facial expression data, action data, special efficacy data and control instruction; under the condition of receiving the first remote action driving data, driving and rendering the virtual object according to the first remote action driving data in real time, generating and playing first animation image data; under the condition of not receiving the first remote action driving data, driving and rendering the virtual object according to the interactive instruction of a user, generating and playing second animation image data. According to the real-time interactive control method, the problems of relatively poor real-time interaction of the virtual object and poor user experience in related technologies are solved, and then the effects of better real-time interaction and higher user experience are reached.

The invention provides an intelligence household group network structure with set-top box and its operation method. The group network structure consists of the set-top box and intelligence household equipment through network connection. The set-top box is provided with a network joint connected with the intelligence household equipment and the memory of the set-top box divides a special storage area as intelligence household information. The invention adopts the set-top box to control the intelligence household equipment, which saves abundant funds for users and saves plentiful energy for society, finally realizing the effects of easy use, easy monitoring and convenience for users. The invention effectively resolves the problem of high cost and difficulty for realizing real-time monitoring by adopting computer method to household equipment and inconvenient operation by controlling the household equipment respectively.

The invention discloses an automatic transmission line identification system and method based on a multilayer convolutional neural network. The system comprises an equipment picture database, a targetdetection module, a target tracking module and a target identification module; the equipment picture database stores image or video information of obstacles on a transmission line in a classified way, and marks images or videos; the target detection module locates an obstacle target on the line in the video or image, and provides object position information of the present frame; according to thedetected object position information as well as prior information of structuring of the detection target, the target tracking module tracks the target online; and the target identification module identify types of different equipment online in different scales, backgrounds, illumination and angles. The system and method have the advantages that good characteristics that reflect the target can be learned automatically via deep learning, artificial design or redesign is not needed, execution can be realized via once training, and only model optimizing and multiple offline training are needed.

The invention discloses a space interaction method of mobile equipment with the human-computer interaction capacity. The method includes the steps of rebuilding a depth map of an image according to the two-dimensional image shot by the mobile equipment in real time; performing region segmentation on the depth map to obtain a human body position region in the depth map; mapping the human body position region in the depth map to a virtual scene; and detecting whether the human body position in the virtual scene collides with other objects in the virtual scene, if the collision happens, determining a body language according to the temporal space change of the human body position in the virtual scene, and the virtual scene making response according to the body. According to the method, accuracy and timeliness of space interaction can be improved.

The invention provides a robot indoor environment exploration,obstacle avoidance and target tracking method based on a ROS. Based on a grid map established through laser radar information,combined with local map deduction and global boundary searching,an independent exploration strategy is designed so that a moving robot can be prevented from getting into a local exploration infinite loop,and whole-indoor-environment exploration can be completely guaranteed. According to the method,real-time tracking nodes and shielding tracking nodes are designed with an improved Kalman filtering method and aMeanShift method in the ROS,the real-time problem and the complete-shielding problem of target tracking of the moving robot are solved,the computing speed of the system is increased,target search time is shortened,and the real-time requirement of tracking is met; when a target is completely shielded,the shielding tracking nodes forecast and track the target according to previous state information,and after shielding is ended,a target is newly locked,tracking modes are automatically switched,and the target is tracked through the real-time tracking mode.

The invention discloses a self-adaptive hunting device using multiple robot pursuers to hunt a single moving target and a method. The method comprises multiple-stage dividing of a hunting process, a pursuing policy based on a bionic neural network, angular relationship surrounding and multiple virtual potential points. According to the step of multiple-stage dividing of the hunting process, multiple-stage modeling is carried out for the hunting process; a hunting task is divided into four stages of searching, pursuing, surrounding and arresting; and policies corresponding to four stages are used for controlling. According to the pursuing policy based on the bionic neural network, a bionic neural network method used in a multiple-robot system is migrated to a hunting environment, and hunting guide is carried out on multiple robot pursuers. According to angular relationship surrounding, an angular relationship is used to adjust the movement direction of the pursuers. According to multiple virtual potential points, multiple virtual potential points are arranged to form an arresting formation, and the final hunting task is completed. According to the invention, the hunting process is divided into different stages; in the pursuing stage, the bionic neural network method is used to solve uncertainty, dynamics and instantaneity of an environment; and efficient obstacle avoidance and hunting are completed.

The invention discloses an artificial intelligence call center system, comprising a communication network, an artificial intelligence server, an AI agent for performing incoming and outgoing call tasks, a manual agent, an intelligent quality inspection management system for performing a quality inspection task, and an intelligent management background CRM for performing data mining and analysis, wherein the communication network is connected with a user terminal and the artificial intelligence server, the artificial intelligence server is used for accessing the data in the communication network, the AI agent is used for performing the incoming and outgoing call tasks, the manual agent is used for performing a call request that cannot be processed by the AI agent, the intelligent quality inspection management system comprises a quality inspection rule management module and a quality inspection result management module, and the intelligent management background CRM serves as a carrier ofthe call data and a processing analyzer. The artificial intelligence call center system disclosed by the invention solves the problems of low calling, screening and service efficiency, increasing labor cost, difficulty of managing large-scale artificial agents, difficulty in mass call recording quality inspection and insufficient user data mining of the existing call centers.

The invention discloses a method for realizing virtual three-dimensional superposition through tracking and positioning algorithms. The method comprises the following steps of: 1, presetting characteristic points of a tracked object, taking a plane in which the characteristic points of the tracked object are positioned as a reference plane, determining a world coordinate system by taking any one characteristic point as an original point, and recording a world coordinate value of each characteristic point; 2, recording pixel coordinate values of two frames of image; 3, detecting characteristic points of each frame of images which are subsequently input in the same mode, and calculating an inner parameter N and an outer parameter H of a camera; 4, decomposing an acquired outer parameter matrix to calculate a translation vector and a rotating vector R between the object and the camera; and 5, virtually enhancing the realistic three-dimensional superposition. A video image of which a three-dimensional model is superposed has high three-dimensional stereoscopic sensation and vivid effect.

The invention discloses a vehicle density sensing system and a vehicle density sensing method based on inter-vehicle communication. By sensing and predicting the vehicle position information, spreading and displaying of information is realized based on the inter-vehicle communication, the demand of a driver on the front real-time traffic information in the vehicle running process is satisfied, and reference is provided for the driver to brake and move around in advance, thus the driving safety of the driver is improved, and the road congestion can be obviously reduced or alleviated. According to the invention, vehicle GPS (Global Position System) information obtained by a vehicle is spread to the surrounding vehicles via a wireless vehicle transmission device, each vehicle which receives the position information can known the positions and the density information of other vehicles in a certain range around by performing calculation and comparison, so that an auxiliary reminding function for judging of the driver in the driving process is realized.

The invention relates to a strong mapping digital twin system based on a virtual imaging technology. According to the system, a multi-information cooperative communication mechanism is established between digital twin bodies, morphological information, state information and behavior information of a physical entity system are collected through multiple sensors and sent to an edge computing node, and the edge computing node is responsible for receiving sensor information and carrying out edge computing processing on the received information; A virtual imaging technology is applied to project digital entities of the digital twin system into a real space in a three-dimensional visualization mode, meanwhile, state information of the physical entities is displayed in a virtual reality mode, thedetail display effect of the digital twin system is enhanced, and the requirements for multi-view observation and immersion experience are met; According to the system, strong information mapping isestablished between a physical entity and a digital entity through the process, and it is guaranteed that information is transmitted between twin bodies in real time at a high speed in an undistortedmode.

A remote network seal-affixing device able to automatically affix seal under the control of remote signal and with high safety is composed of a box consisting of upper cover, main body, hydraulic cylinder, interface and electromagnetic lock, a sealing moving unit, a sealing holder, a document bearing tray, a seal destroyer, a recognizer, a projector, a camera head, and a control circuit.

The invention discloses a real-time control dynamics modeling method for a multi-freedom-degree parallel mechanism. The method includes the steps that firstly, a lagrangian method is utilized to deduce a dynamics model of the parallel mechanism, then, a model simplification strategy for decomposing the quality of a branched chain is provided based on simulated analysis and mechanism kinematic characteristics, a simplified dynamics model is established, and an error compensation model caused by model simplification is established; secondly, the input and the output of the error compensation model are utilized to conduct offline train on a neural network; eventually, based on the simplified dynamics model, the trained neutral network is utilized to conduct intelligent error compensation on the simplified dynamics model, and high-precision dynamics model with the real-time control function is established. According to the method, the traditional lagrangian method and the neutral network are combined, the problem that contradiction exists between the real time performance and accuracy when the dynamics control method of the parallel mechanism is practically applied is solved, calculating efficiency of the complex dynamics model is improved, and accuracy is high.

The invention discloses a method and a system for achieving a web page game, which belong to the field of network communication. The method comprises the following steps: logging on an instant communication IM client of a user, and logging on the web page game through the IM client; and acquiring web page game information of the user, and sending the web page game information of the user to the user and contacts of the user through IM messages. The system comprises a server and the IM client. The embodiment of the invention uses an IM as an achieving carrier of the web page game, solves the problems that the web page game using an SNS as a carrier cannot achieve instant notification and cannot be online for a long time, and simultaneously provides a closer relation chain and more exhibiting modes for the web page game, and improves the user experiences.

The invention discloses an on-line vision detecting system applied to an automatic impact specimen processing device and an image processing method thereof. Taking vision technology and image processing technology as basis, by adopting image acquisition, display, processing and analysis technology, the on-line vision detecting system finishes impacting the specimen size of an on-line vision detecting system. The system can improve production flexibility and automation degree, is applicable to a large-batch production process, and can overcome the defects of low efficiency, low precision and incapability of real-time on-line measurement during manually detecting product quality. The image processing method comprises the following steps: firstly, acquiring a still image of the end face of a workpiece by using CCD photographing technology and an image acquisition card, transmitting image information to a computer, then processing the information comprehensively by an image processing software, calculating the actual size of the workpiece, transmitting the test result to a control software, acquiring instructions for further processing or stopping processing after determination processing, sending signals, and starting corresponding motion control programs and a servo actuating mechanism to finish subsequent normal automatic processing processes.