455 results about "Information redundancy" patented technology

A communication device, system and method for managing the local network device remotely include: a local gateway acquires the topology structure and the configuration information of the local network device, and sends them to a remote management server; the remote management server generates configuration instruction to manage the local network device accordingly. The local gateway can manage the local network terminal uniformly, and it is unnecessary that all terminals of the local network support the remote network management protocol. Moreover, the remote management server can easily know the condition of the network organization of the whole local network and optimize the configuration based on the topology of the local network. The solution of the present invention can omit the related information redundancy of the gateway and terminal, reduce the cost of consistency management, and simplify the NAT traversal mechanism when the remote management server visits the private network terminal

Architecture for improving text searches using information redundancy. A search component is coupled with an analysis component to rerank documents returned in a search according to a redundancy values. Each returned document is used to develop a corresponding word probability distribution that is further used to rerank the returned documents according to the associated redundancy values. In another aspect thereof, the query component is coupled with a projection component to project answer redundancy from one document search to another. This includes obtaining the benefit of considerable answer redundancy from a second data source by projecting the success of the search of the second data source against a first data source.

The invention relates to a method for encoding and manufacturing a multi-interactive authentication RFID compound intelligent tag, as well as a system thereof. An EPC product electronic code which is provided with a time code and is randomly corresponding to a sequence code is prepared as a storage code of a non-chip RFID, a surface acoustic wave RFID or a powder RFID chip; the code is converted to a plaintext code via encryption and is printed on a tag for covering; the plaintext code is converted to a bar code and printed on the tag; a digital safe line production tag is used to carry out the pre-chopping treatment of the tag, so as to prevent the transfer; numbers on the safe line are identified by photography; EPC codes, passwords, bar codes and the safe line digital codes are stored correspondingly; a tag anti-counterfeit system, a bar code scanning system and a radio frequency identification system are all connected with the Internet of Things; thus the same product information and logistics path information can be accessed through the EPC Internet of Things regardless of using radio frequency identification, man-made identification or machine identification. The invention can greatly reduce the tag cost, improve the safety, and expand the information redundancy and the application adaptability.

The invention discloses a video abstract key frame extraction method based on abstract space feature learning, so as to solve the technical problem that the key frame extracted by the present video abstract key frame extraction method has a poor quality. According to the technical scheme, video frames are uniformly sampled, color histogram features are extracted from each frame after sampling, and a feature matrix X of the video frames serves as input data; a Lipschtiz smooth real function is used, the feature matrix X of the video frames is mapped to the abstract space S, a weight matrix W is used for carrying out representative frame extraction; a hamming distance between two image fingerprints is calculated, if the hamming distance H of two representative frame image fingerprints is smaller than a threshold, the two video frames are regarded as similar frames, a key frame collection meeting requirements of representativeness and difference is obtained, and a video abstract is obtained when the collection is ranked according to a time order. As measurement of representativeness and difference of the key frames can enable the video abstract to display the video content in a condition without information redundancy, and the quality of the video abstract key frame is improved.

The invention provides a medical staff on-duty monitoring method and a medical staff on-duty monitoring system based on video analysis and RFID (radio frequency identification) technology. The method comprises the steps of acquiring a video image in real time in a monitoring region; performing costume detection on a monitored video to acquire a medical staff detection result; selecting to perform face identification or walk identification according to the size of a face of the detected medical staff; performing motion detection to acquire on-duty information of the medical staff; detecting off-duty staff according to the video, and starting an RFID scanning program to determine a staff on-duty situation; furthermore, regularly starting an on-duty scanning program through RFID to judge on-duty situation of the medical staff, wherein if a suspected off-duty situation exists, the system requests a video monitoring system to confirm the situation; if off-duty information is determined, enabling the system to send alarming information of the off-duty situation of the medical staff. Due to the use of machine vision and an electronic communication technology, real-time monitoring on the medical staff is realized; under a condition that electromagnetic pollution and information redundancy are reduced, automatic monitoring and alarming reminding for the on-duty situation of the medical staff are realized.

Common practice in the aviation industry is to place a single Flight Data Recorder (FDR) in an aircraft for the purpose of aiding an investigation of an aircraft accident or incident. In contrast, a system employing ‘an example’ embodiment of the invention uses multiple flight data recorders by having a primary node or first FDR, and one or more secondary nodes or one or more additional FDRs configured to store flight data. Each FDR is placed in a different location so as to ensure backup of the recorded and stored data. In this way, the invention system provides redundancy of information for an aircraft accident or incident and more reliable data storage.

The invention discloses a navigation system based on multi-sensor data fusion. The navigation system comprises a map building module, a positioning module, a log module and a path planning module. The map building module manually generates a raster map through environment modeling software by measuring a work site in combination with an architectural drawing. The positioning module measures the relative position of a robot and the environment through a laser scanning sensor, works out the distance between the robot and a wall, obtains the world coordinates of the robot through conversion of coordinates and achieves the positioning function. The log module fuses log data and data measured by laser scanning to form navigation data flow. The data measured by the sensor are comprehensively analyzed through a fusion algorithm, and the navigation task is finished through map building, automatic positioning and path planning. The navigation system is provided with a relatively complete information obtaining channel, information redundancy and contradiction are effectively avoided through a unique information processing method, and real-time performance and accuracy are improved obviously.

The invention discloses a passive sensor networking detection multi-target method. A passive sensor networking system carries out intersection positioning by using a direction-finding intersection method according to angle information provided by a sensor; a ghost point is eliminated by using information redundancy static between multiple platforms; subsequently the ghost point is dynamically eliminated by using a virtual flight path tracking technique, so as to realize the accurate positioning and tracking on multiple targets. The method for eliminating the ghost point comprises the steps of: calculating each flight path tracking door; carrying out association processing on point targets (obtained from the intersection positioning) with each grade of flight path files in sequence in accordance with the flight path grades from high grade to low grade; and starting, combining, cutting, branching and deleting the flight path according to the association situation. The passive sensor networking detection multi-target method has the following advantages that target movement characteristics are sufficiently utilized, the ghost point is dynamically eliminated in the target tracking process, the engineering is strong in realizability, and the ghost point can be effectively eliminated under the condition that the targets are dense or measuring noise exists.

The invention discloses a multi-spectral image classification method based on threshold self-adaption and a convolutional neural network. The method comprises the following steps of inputting multispectral images of different time phases and different wave bands of satellites to be classified, and carrying out normalization on all pixels of a marked portion of a same wave band image in all cities; stacking selected 9 wave bands into one image and taking the image as a training data set; constructing a classification model based on the convolutional neural network, using the training data set to train the classification model so as to acquire a probability model based on OSM, using the model and a confidence coefficient strategy to adjust a softmax output result and acquiring a final classification model, and finally, uploading a test result to an IEEE website so as to acquire classification accuracy. By using the multi-spectral image classification method, characteristics that there are a lot of wave bands, a data volume is large and there are a lot of information redundancy in the multispectral images are fully used so that a problem that surface features of complex types are difficult to classify is solved, classification accuracy is increased, an error dividing rate is reduced and a classification speed can be increased.

The invention provides a microseism event positioning method. The method includes: utilizing a rule that any two waveforms are mutually correlated; calculating pickup first arrival time difference; utilizing weighted stacking of differences between the pickup first arrival difference among all wave detector pairs and calculated first arrival difference as a target function to perform optimized iterative positioning on a microseism event. By the method, the problem that low signal-to-noise-ratio coaxial axis is discontinuous can be effectively overcome; by utilizing weighted stacking of the differences between the pickup first arrival difference among all wave detector pairs and the calculated first arrival difference as the target function, N(N-1)/2 combinations of wave detectors can be provided for an observation system containing N wave detectors, so that massive information redundancy is provided, and positioning accuracy of the microseism event is improved.

The invention discloses an audio coding or decoding system structure, which comprises a basic layer coding module, a coding control module, an accumulation layer coding module; wherein, the image of the basic layer coding module eliminates the information redundancy between the basic layer and the accumulation layer using sample as reference frame or interlayer prediction of the accumulation layer; the coding control module controls the coding method of the middle interested area between the basic layer and the accumulation layer according to the strategy of the interested area, and judges and controls the 24-hour coding module between the basic layer and the accumulation layer through light mode; the coding module of the accumulation layer realizes coding to input audio current of the accumulation layer with adoption of delaminating technology on the basis of all the coding modules. The audio coding and decoding system structure can not only realize the integration of the basic layer to the current audio coding standard, but also fulfill the special requirements to audio coding of security monitoring.

The invention relates to the communication field, the embodiment of the invention discloses a method for configuration of a network apparatus, a network apparatus and a network system; the method comprises that the network apparatus receives configuration information which comprises: a configuration template identification needed to be invoked and configuration parameters; the network apparatus invokes a locally pre-stored configuration template identified by the configuration template identification, and substitutes the configuration parameters to configures the network apparatus; wherein the configuration template uses the configuration template based on XML. By applying the technical proposal of the embodiment, the configuration codes, which are needed to be sent at each configuration, are reduced, information redundancy of interaction between a management user and the network apparatus at each configuration is lessened, and it is advantageous for advancing configuration efficiency of the network apparatus.

The invention relates to a dual-redundant unmanned ship ship-borne control system and method based on an ARM. The system comprises an information collection system, a first arbitration switching system, a second arbitration switching system, an execution mechanism, a first ARM processor, a second ARM processor, a communication system and a power supply. The task level synchronization is realized by the two ARM processors. The dual-redundant designs of all sensors are made. The data of two paths of sensors are transmitted to two ARM processors at the same time to carry out comparison, correct data is selected to carry out task operation, and a comparison point is set in the task operation. The corresponding data is subjected to consistency judgment, if the corresponding data is inconsistent, the arbitration switching systems carry out fault diagnosis on the two ARM processors, a failed ARM processor is isolated, and at the same time an ARM processor with normal operation is selected to control output. According to the dual-redundant unmanned ship ship-borne control system and method, with hardware redundancy as a basis, with software redundancy, information redundancy and time redundancy as a supplement, the reliability, stability and safety of the unmanned ship ship-borne control system are effectively improved, the safe and stable operation of an unmanned ship is ensured, and various complex tasks are smoothly completed.

The invention relates to a text abstraction method based on hierarchical interaction attention, and belongs to the technical field of natural language processing. According to the method, the generation of the abstract is guided by extracting the feature information of different levels of the encoder through the level interaction attention. Meanwhile, in order to avoid the problem of information redundancy caused by introduction of different levels of features, data noise is compressed by utilizing a variational information bottleneck. Aiming at the generative text abstract, under an attention-based encoding and decoding framework, the multi-layer context information of the encoder is extracted through an attention mechanism to guide the decoding process, and meanwhile, the variational information bottleneck is introduced to constrain the information, so that the quality of the generative text abstract is improved. Experimental results show that the method can significantly improve theperformance of the encoding and decoding framework in a generative abstract task.

The invention discloses a method for automatically abstracting a Blog on the basis of feature information. The method includes steps of scoring sentences on the basis of the feature information; scoring attention of comments on the basis of latent semantics; and checking and merging abstract to obtain an abstract sentence set. The method has the advantages that the feature information of the Blog is sufficiently utilized, and focus of the attention in the comments is fused on the basis of the latent semantics, so that the reader-friendly abstract can be generated, and theme coverage and information redundancy are balanced by a process for checking the abstract; the problem of synonymous noise among comments and a text is solved by the aid of the relevance of the latent semantics; and the abstract generated by the method is reader-friendly and is high in accuracy.

An embodiment of the invention discloses an adaptive background updating video compression and transmission method. The method includes the steps: acquiring background frame images through an inter-frame difference algorithm and repeatedly acquiring new background frame images every N frames; performing difference calculation for the new background frame images and the background frame images, updating the background frame images by the aid of the new background frame images when a result is larger than a set threshold value, performing differential operation for a current video frame image and the background frame images, acquiring a foreground frame image comprising moving objects of the current frame image and transmitting the foreground frame image to a video terminal; and overlapping the background frame images and the foreground frame image by the video terminal to reconstruct an original video. The embodiment of the invention further discloses an adaptive background updating video compression and transmission system. By the aid of the method, coordinate parameters of the moving objects are omitted when the images are composited, the background frame images and the foreground frame image are directly and adaptively overlapped and reconstructed, information redundancy cannot be increased, and transmission bandwidth resources are saved.

The invention discloses a multi-camera positioning and tracking method and a multi-camera positioning and tracking system. The method comprises the following steps of: continuously acquiring image signals of a measured object from different directions in real time by using a plurality of cameras; performing two-dimensional (2D) coordinate interpolation on image position 2D coordinates of the measured object in each camera at different times by an optimization algorithm; and calculating spatial three-dimensional coordinates of the measured object by performing a three-dimensional coordinate positioning algorithm on a plurality of spatial lines, in different planes, formed by a plurality of two-dimensional plane coordinates of all camera image planes. In the multi-camera positioning and tracking method and the multi-camera positioning and tracking system provided by the invention, a system measurement error caused by internal and external parameter errors of the cameras and other factors such as illumination and the like are overcome to the maximum by utilizing the characteristic of information redundancy of multi-camera imaging; high positioning accuracy can be realized, namely thepositioning accuracy of 5 to 20 mm can be achieved; a measurement result is the three-dimensional coordinate information of a target to be measured; and the three-dimensional spatial coordinate measurement of a target is realized.

The invention discloses a video saliency detection algorithm based on saliency target background modeling. The algorithm comprises steps as follows: step 1, performing static image saliency detection on an initial frame (current frame) to acquire a saliency map of the initial frame, and acquiring a residual background according to the saliency map; step 2, performing similarity filling on pixels with pixel values being 0 in a residual background image to acquire an initial frame background model; step 3, according to the initial background model, subtracting the initial background model from the next frame through background subtraction to acquire a next frame of salient zone, performing information redundancy distinguishing on the salient zone, if the redundancy is lower, judging the salient zone to be correct, if the redundancy of the salient zone is higher, performing background modeling again on the current frame with the methods in steps 1 and 2; finally, acquiring a final salient video through sequential circulation. According to the algorithm, background modeling is not required to be performed on each frame in the video, so that the calculation speed can be higher.

The invention discloses a battery screen printing quality detecting method based on block template matching. Original images of batteries are acquired to build a template data set; images of the batteries are corrected; the corrected images of the batteries are tailored; detecting areas are extracted to reduce information redundancy; battery screen printing images are cut from battery backgrounds;a battery screen printing position is determined; block matching is performed on images to be detected by using block template images in the template data set to judge the matching degree between images of the batteries to be detected and templates; block sub images of the batteries to be detected are compared with built template sub images one by one; difference results are analyzed to obtain battery screen printing defect information; aberration quantitative analysis is performed on each sub image to obtain aberration conditions of each part in global images; and meanwhile, average processing is performed to observe global aberration conditions to finish the battery screen printing quality detection. The method needs no manual intervention, and can realize quick high-precision battery screen printing quality detection.

The invention relates to a human motion prediction method based on attention mechanism, belonging to the technical field of human-computer interaction and virtual reality. The method of the inventionreads all the data from the human body movement posture data set and performs standardization processing, then reads the training data batch according to the generated random number according to the length of the frame needed to be trained in the instruction, inputs the data into the attention model for data processing, and performs motion reconstruction according to the processed data. The invention adopts two kinds of attention mechanisms, namely global attention mechanism and local attention mechanism. Compared with the prior art, the method of the invention can avoid information redundancyin a certain time and distribute attention under a certain window at the same time.

The invention discloses a microblog sorting model building method. The method comprises the steps of S1) constructing a training data set, wherein the training data set comprises a series of query words, each query word corresponds to a plurality of microblogs, and an arrangement sequence of the microblogs is obtained in a manual annotation manner to serve as a training standard answer; S2) extracting attributes of the microblogs corresponding to each query word in the training data set; S3) extracting a relevance feature and a similarity feature of each blog article; and S4) building and training a sorting model. Based on the model, the invention furthermore provides a microblog diversity retrieval method. By use of the method, diversified retrieval results are returned when a user retrieves related information in the microblogs, so that information redundancy is reduced, the accuracy and coverage of a retrieval result of a retrieval system can be effectively improved, and the user experience is enhanced.