30results about How to "Avoid data processing" patented technology

A pulse oximetry method and system for improved motion correction is disclosed. The method / system provides for the use of a detector output signal to obtain a different plurality of differential absorption data sets in corresponding relation to each of a succession of measurement, wherein each of the data sets includes differential absorption values for light of a first wavelength and light of a second wavelength. The data sets are processed to obtain a relative motion estimate value for each measurement. When the relative motion estimate value for a given measurement falls within a predetermined range (i.e., corresponding with clinical motion), a corresponding blood analyte indicator value is adjusted in a predetermined manner, wherein the corresponding adjusted blood analyte indicator is employable to obtain at least one blood analyte concentration value. In one embodiment, blood analyte indicator values may be readily multiplied by a predetermined adjustment factor (i.e., when clinical motion is identified). The relative motion estimate value for a given measurement may be obtained by conducting a principal component analysis of the corresponding plurality of data sets relative to a corresponding best fit function therefor to obtain corresponding variance values V1, V2. The variance value V1, and / or V2 for a given current measurement may be employed to obtain a current motion estimate value. The current motion estimate value and the relative motion estimate value obtained for a prior low motion measurement (i.e., for which no adjustment was necessary) may be used to compute the relative motion estimate value for the current measurement. The variance values V1 and / or V2 are also employable to compute an ongoing, updated motion probability factor, wherein such factor may be used to adjust relative motion estimates values in instances of rapid tissue perfusion changes.

Provided is a stream data processing system and method for avoiding duplication of data process. The system including: an evaluation result storing unit for updating and storing a query condition evaluation result; a window evaluating unit for performing window evaluation; a data separating unit for separating data into new data and duplication input data; a reuse result extracting unit for receiving duplication input data from the data separating unit and extracting a query condition evaluation result; a query condition evaluating unit for receiving new data from the data separating unit, performing query condition evaluation and creating a query condition evaluation result; and a result organizing unit for receiving the query condition evaluation result, merging, outputting and transmitting the query condition evaluation result to the evaluation result storing unit.

Described is an improved method, system, and computer program product for preventing concurrent access and processing of data by multiple threads. The inventive approach may be applied to prevent concurrent access in resequencers.

The invention relates to a method and a device for improving the blood vessel hardness measuring accuracy based on pulse wave frequency spectrum analysis, wherein, the method is realized by the steps that a pulse signal is acquainted, a universal pulse signal preprocessing process is performed; a pulse signal through preprocessing is read by a single-chip microcomputer; the base line leveling up treatment and the normalization treatment are performed to a pulse wave signal; the initial filtering treatment is performed to the pulse signal; the parameter of an energy domain entropy power value is calculated; the statistical analysis is performed to a frequency domain result, and the secondary filtering is performed. The device comprises an armband, a gas transmission hose connected with the armband, an air pump and a control valve respectively connected with the gas transmission hose, a sensor installed on the armband, an A / D converter respectively connected with the sensor and the single-chip microcomputer, and a valve drive unit and a pump drive unit respectively connected with the single-chip microcomputer. The invention can perform the selectable large area frequency band filtering, the filtering-off not only comprises a noise signal not removed by the initial filtering, but also comprises a useless frequency band signal, the useless data treatment is avoided, to ensure that the calculation of the blood vessel hardness is more accurate, and the calculation has pertinence.

The invention discloses a mobile robot positioning method based on a laser scanner and strong reflective signs. The method comprises that steps that a mobile robot environment monitoring system composed of the multi-line laser scanner and the strong reflective signs is established, and the strong reflective signs are recognized and relatively positioned through environment light intensity data and distance data obtained by the multi-line laser scanner. When the initial position of the robot is not known, distance and gradient information of pairs of connected lines of the reflective signs is calculated, therefore global positioning of the reflective signs is achieved through data matching, and finally position information acquisition of the robot under the global environment is achieved through the relative position relation between the robot and the reflective signs. The mobile robot positioning method has the beneficial effects that the defects that perceptual information is excessively simple when only distance or direction data are adopted, and less target characteristics are obtained are overcome, and recognition stability is improved.

A conference system of the type that comprises a bridge (10) to which a plurality of terminals (1 to 4) can be connected to participate in a conference, said bridge (10) being equipped to receive the audio and / or video and / or data flows of each terminal (1 to 4) and to retransmit them to the other terminals, wherein the flows transmitted by said terminals (1 to 4) are coded by means of hierarchical coders and wherein said bridge (10) is equipped with means (21 to 24, 210 to 243) for processing the audio / video / data flows coming from the terminals (j) so that they have a hierarchical level (q) in the flow intended for the terminal (i) and means (20) for determining said hierarchical level (q) based on decision-making criteria relating to the status of said conference system.

The invention discloses a laser device linewidth measuring instrument based on an arm9 embedded platform. The laser device linewidth measuring instrument comprises a first optical fiber coupler, an optical fiber delay line, an acoustic-optical modulator, a second optical fiber coupler, a photoelectric detector, a spectrum analysis module and the embedded platform, wherein an input end of the optical fiber delay line is connected with a first output end of the first optical fiber coupler; an input end of the acoustic-optical modulator is connected with a second output end of the first optical fiber coupler; a first input end of the second optical fiber coupler is connected with an output end of the optical fiber delay line, and a second input end is connected with an output end of the acoustic-optical modulator; an input end of the photoelectric detector is connected with an output end of the second optical fiber coupler; an input end of the spectrum analysis module is connected with an output end of the photoelectric detector; and an input end of the embedded platform is connected with an output end of the spectrum analysis module, and the embedded platform is used for carrying out data analysis on the spectrum analysis module. The laser device linewidth measuring instrument has the advantages of convenient operation, portability and the like, and can be used for measuring linewidth of a narrow linewidth laser device.

The invention discloses a data processing method and system, related equipment and a storage medium. The data processing method comprises the following steps: acquiring a target object in a video frame of a multi-angle free view angle video; acquiring a virtual information image generated based on the augmented reality special effect input data of the target object; and carrying out synthesis processing on the virtual information image and the corresponding video frame and displaying the virtual information image and the corresponding video frame. According to the scheme of the embodiment of the invention, the requirements of rich visual experience and low time delay in the video watching process of the user can be considered.

A data protection system is disclosed which is installed in a game machine together with a rewritable storage device, and protects the data stored in the storage device from illegal changes. A command receiving unit receives from the outside a command requesting data processing for the storage device. The received command is checked by a judgment unit against each valid command stored in a command storage unit. When the received command matches one of the valid commands, a data processing unit instructs the storage device to perform the data processing requested by the received command. When the received command does not match any of the valid commands, the data processing unit does not instruct the storage device to perform the data processing requested by the received command.

The invention relates to a word sense disambiguation method based on a convolution neural network (CNN). The invention firstly processes the Chinese corpus, and processes the Chinese sentence containing ambiguous words by word segmentation, part-of-speech tagging and semantic tagging to obtain the processed training corpus and test corpus. Then the optimized CNN model is obtained by training the model with the training corpus. On the optimized CNN model, the test corpus is disambiguated, and the probability distribution of ambiguous words in each semantic category is obtained. The semantic category with the highest probability is the semantic category of ambiguous words. The invention realizes good disambiguation for ambiguous words and more accurately judges the true meaning of the ambiguous words.

The invention discloses an object storage metadata management device and method based on Kudu and belongs to the database field, The technical problem to be solved by the invention is how to achieve the goal of mass structured storage. According to the technical scheme, (1) the Kudu-based object storage metadata management device comprises a metadata management module and an object data storage module which are respectively used for storing and managing metadata information of object data and storing management object data; (2) a Kudu-based object storage metadata management method, which comprises the following steps of: inserting, acquiring, updating and deleting object data by utilizing a metadata management module, and storing and managing metadata information of the object data at thesame time; The object data storage module is used for completing storage of the object data, non-object storage is expanded on the basis of kudu structured storage, the object data storage module isused for sending and caching messages through a CMSP, and finally the data is stored in a file system or bare equipment.

The invention relates to a Chinese word sense disambiguation method based on a Recurrent Neural Network (RNN). The method comprises the following steps: firstly, preprocessing corpora; in the step, performing word segmentation and feature labeling processing on sentences containing ambiguous vocabularies in the training expectation and the test expectation; the processed training expectation beingused for training the RNN model, and the purpose being to optimize the model; and disambiguating the test expectation by using the optimized RNN model to obtain a probability distribution vector of the ambiguous vocabulary under each semantic category. In the vector, the semantic class corresponding to the maximum value is judged as the semantic class of the ambiguous vocabulary. The method has agood word sense disambiguation effect, and the meaning of ambiguous vocabularies can be better judged.

The invention relates to a device for testing the upward rotation angle variable quantity of a steering column. The device comprises a device body arranged between a steering column experiment mount table and the steering column, the device body comprises an angle variable quantity detection member connected to the steering column experiment mount table, a crank link mechanism connected with the angle variable quantity detection member on one end in a matching manner, and a steering column connecting member connected with the other end of the crank link mechanism on one end, and the other end of the steering column connecting member and the other end of the crank link mechanism are connected with the steering column in a matching manner. The device can measure the upward rotation angle variable quantity of the steering column during the human body module experiment process, and solves the problem that the angular velocity sensor is large in null shift, and is insensitive to relatively-small angle variable quantity, and the integral computation has a relatively-large error. The invention also relates to a method for testing the upward rotation angle variable quantity of a steering column, and the method provides support for automotive crash safety research, development and design.

The embodiment of the invention provides an online road surface unevenness identification method and system. The method comprises the following steps: acquiring a to-be-identified time sequence signalof a pavement; inputting the to-be-identified time sequence signal into a pre-trained road surface unevenness grade classification model to obtain a road surface unevenness classification result output by the road surface unevenness grade classification model, wherein the road surface unevenness grade classification model is obtained by training an LSTM network based on training set data of a road surface and grade labels obtained by classification according to road surface unevenness standard grades. According to the embodiment of the invention, by obtaining a small amount of simple time sequence signals, complex data processing is avoided, and a road surface unevenness grade result is quickly obtained in real time.

The invention discloses a data processing method and device for a front-end gateway, and the method comprises the steps: responding to a first request for obtaining a front-end application, analyzing the request, and judging whether the first request needs to obtain combined return data or not; if the first request needs to obtain the combined return data, sending a plurality of second requests split by the first request to a plurality of back-end services; and in response to obtaining a plurality of pieces of return data returned by the plurality of back-end services based on the plurality of second requests, aggregating the plurality of pieces of return data to obtain aggregated data, and feeding back the aggregated data to the front-end application. The returned data fed back by the back-end service is aggregated through the front-end gateway, so that the front-end application can directly acquire the aggregated data from the front-end gateway, and the operation of decoupling the data and the service due to the fact that data processing needs to be performed in service logic is avoided.

The invention discloses a data compensation method and system and a computer readable storage medium. The method comprises the steps of: creating a supplementary recording task list according to supplementary recording requirements; and calling specific additional recording information according to the additional recording task list, wherein the step of calling the specific additional recording information according to the additional recording task list comprises the step of obtaining additional recording data from a database in an access coding mode. The additional recording task list is created according to additional recording requirements, the corresponding task list is searched for or a new task list is added through a task allocation function, additional recording information is filled in through the additional recording function in the task list, and the coding access mode comprises the following steps that: the parameter value of the FTP placeholder comprises starting time andending time / the parameter value of the FTP placeholder only comprises one time field / the parameter value of the FTP placeholder is consistent with the parameter value in the FTP configuration placeholder. According to the invention, data compensation can be carried out through an active request or a time dimension setting mode, so that automatic data updating and additional recording change on abnormal data are facilitated.

The invention relates to a Chinese word sense disambiguation method based on a graph convolutional neural network (GCN). According to the invention, firstly, Chinese corpora are preprocessed; word segmentation, part-of-speech tagging and semantic tagging processing are performed on statements, containing ambiguous words, of the training and testing corpora; a word sense disambiguation feature graph is constructed by taking sentences where ambiguous words are located and word forms, part-of-speech and semantics contained in the sentences as disambiguation features and nodes, and weights are embedded into the nodes and edges by using Word2Vec and Doc2Vec tools and point mutual information (PMI) and TF-IDF methods; and the GCN model is trained by using the training corpus, and thus optimizing the model; word sense disambiguation is performed on the test corpus by using the optimized GCN model, so that probability distribution of ambiguous vocabularies under each semantic category can be obtained; and the semantic class corresponding to the maximum probability value is judged as the semantic class of the ambiguous vocabulary. The invention has a good word sense disambiguation effect, and the real meaning of the ambiguous vocabulary is more accurately judged.

The invention discloses a mobile robot positioning method based on a laser scanner and strong reflective signs. The method comprises that steps that a mobile robot environment monitoring system composed of the multi-line laser scanner and the strong reflective signs is established, and the strong reflective signs are recognized and relatively positioned through environment light intensity data and distance data obtained by the multi-line laser scanner. When the initial position of the robot is not known, distance and gradient information of pairs of connected lines of the reflective signs is calculated, therefore global positioning of the reflective signs is achieved through data matching, and finally position information acquisition of the robot under the global environment is achieved through the relative position relation between the robot and the reflective signs. The mobile robot positioning method has the beneficial effects that the defects that perceptual information is excessively simple when only distance or direction data are adopted, and less target characteristics are obtained are overcome, and recognition stability is improved.

The invention discloses a knowledge graph construction and improvement system and method based on natural language. The system comprises an original database, a data processing module, and a knowledge graph generation module. The original database is in communication connection with a mathematical processing module, and the data processing module is in communication connection with the knowledge graph generation module. The inference module is used for receiving inference rules, knowledge entities and relationship attributes sent by an original database and a data processing module, generating an inference knowledge graph according to the inference rules, the knowledge entities and the relationship attributes, and sending the inference knowledge graph to the knowledge graph generation module; the knowledge graph generation module receives the reasoning knowledge graph sent by the reasoning module, and fuses the reasoning knowledge graph with the basic knowledge graph to obtain a fused knowledge graph, so that the timeliness of the knowledge graph is ensured, and massive data processing in the knowledge graph updating process is avoided.

The invention discloses an oil product detection device and method. The oil product detection device comprises a measurement unit and a main control unit, wherein the measurement unit is used for measuring oil product data of hydraulic oil and transmitting the oil product data to the main control unit. The main control unit obtains the oil product quality level of the hydraulic oil according to the oil product data. The oil product detection device and method solve the problem that acquisition and data analysis of the hydraulic oil are in the separated state. Furthermore, the oil product detection device can be a vehicle-mounted oil product detection device and can be directly installed on an engineering machinery vehicle, burdensome data processing can be effectively avoided, and quality of the detected hydraulic oil can be conveniently displayed in a multichannel manner.

The embodiment of the invention provides a vulnerability scanning method, a device, electronic equipment and a computer readable storage medium, and relates to the technical field of information safety. According to the method, after a scanner receives a scanning instruction for a target server, a data collection instruction is sent to a linkage server according to the scanning instruction, so that the linkage server acquires target address data from address data stored in a content distribution network server according to the data collection instruction and processes the target address data; the address data is obtained by the content distribution network server according to the access request; and the scanner receives the processed target address data sent by the linkage server, and performs vulnerability detection on the processed target address data after receiving the vulnerability detection instruction. The scanner obtains address data contained in the access request through the linkage server so as to realize more comprehensive system scanning; the target address data is processed through the linkage server, so that the data processing process of a scanner is avoided, and the scanning efficiency is improved.

The invention relates to a common-mode noise inhibition device and method of a time difference type flux gate sensor. A detection circuit I and a reference circuit II are included, a resistor in the detection circuit I is replaced with a time difference type flux gate probe, and a digital signal collection circuit and a collection result thereof are obtained; and subtraction is carried out on the obtained collection result, and common-mode noise is removed from two paths of signals. Compared with a present signal processing circuit of the time difference type flux gate sensor, it is not required to change the structure of the signal processing circuit or flux gate probe, or use a complex algorithm, and common-mode noises of the time difference type flux gate sensor can be inhibited rapidly by only ensuring that the two circuits can realize synchronous real-time measurement. Noise, introduced by excitation current, of the time difference type flux gate sensor can be inhibited effectively, and the strict requirement for an excitation current signal generator can be reduced.

The embodiment of the present application discloses a data synchronization method and a related device. When acquiring a synchronization request from a service node, a snapshot copy of the data set to be synchronized corresponding to the identification is obtained from a key-value database based on the identification in the synchronization request. In the process of data synchronization to the service node based on the snapshot copy, if the updated data for the data set to be synchronized is received, the version number of the target key information corresponding to the updated data is changed incrementally, and then the updated data is used as The data corresponding to the target key information is synchronized to the service node, and the read version number of the target key information is updated to the version number after the change of the target key information, which prevents the newer data corresponding to the key information from being overwritten by the older data , so that the updated data is directly synchronized to the service node during the data synchronization process, without waiting for the completion of the historical data synchronization, which realizes the timely push of the updated data to the service node and avoids data processing problems in the service node.

The invention provides a user group selection method and device and a computer readable storage medium, and the method comprises the steps: S101, obtaining the configuration information of each data source, and determining a to-be-queried data source and a relation between the data sources according to an input user group selection rule and the configuration information; s102, analyzing the user group circle selection rule into a query request according to a data source and a relationship, and sending the query request to a request queue; and S103, concurrently sending the query requests in the request queue to data sources corresponding to the query requests, and converging query results fed back by the data sources based on the relationship to generate a user group circling result. According to the method, a complicated data processing process can be avoided, the workload is small, the service demand response efficiency is improved, meanwhile, the data does not need to be subjected to multi-layer processing, a service party can conveniently make rules based on original detail data, and the accuracy of user group circle selection is improved.

The invention discloses a robot motion control method and system based on human motion intention detection. The method comprises the steps: acquiring N motion intention intensity levels of a human body and detection data characteristics and preset intensity indexes corresponding to a robot when the human body is at each motion intention intensity level; collecting actual detection data of the robot when a user uses the robot; comparing the actual detection data with the characteristics of the detection data, and identifying the actual motion intention intensity level of a user; taking a presetintensity index corresponding to the actual motion intention intensity level as a parameter, and planning a motion track of the robot; and controlling the robot to move according to the motion track.According to the invention, the detection process of the motion intention of the human body is simplified as a whole, complex data processing is avoided, the lag time for detecting the motion intention of the human body is shortened, and the timeliness of the robot following the motion of a user is improved.

The invention relates to a biomedicine English word sense disambiguation method based on a graph attention network (GAT), and relates to a biomedicine English word sense disambiguation method based on the GAT. The method comprises the following steps: firstly, preprocessing a biomedical English corpus; and in the step, part-of-speech tagging and semantic tagging processing is carried out on statements, containing ambiguous vocabularies, of the training corpus and the test corpus. A sentence where ambiguous vocabularies are located and word forms, part-of-speech and semantics contained in the sentence serve as disambiguation features, the disambiguation features serve as nodes to construct a word sense disambiguation feature graph, a training corpus is used for training a GAT model, and the model is optimized. And word sense disambiguation is performed on the test corpus by using the optimized GAT model, so that probability distribution of ambiguous vocabularies under each semantic category can be obtained. And judging the semantic class corresponding to the maximum probability value as the semantic class of the ambiguous vocabulary. The method has a good word sense disambiguation effect, and the real meaning of the ambiguous vocabulary is more accurately judged.

The embodiment of the invention discloses a data synchronization method and a related device, and the method comprises the steps: obtaining a snapshot copy of a to-be-synchronized data set corresponding to an identification from a key value database based on the identification in a synchronization request when the synchronization request of a service node is obtained, during data synchronization on the service node according to the snapshot copy, if update data for the to-be-synchronized data set is received, changing the version number of the target key information corresponding to the updatedata in an incremental manner, taking the updated data as data corresponding to the target key information, and synchronizing the updated data to the service node, updating the read version number ofthe target key information into the version number after the target key information is changed so that the situation that new data corresponding to the key information is covered by old data is eradicated, the updated data is directly synchronized to the service node in the data synchronization process, waiting for completion of historical data synchronization is not needed, the updated data is pushed to the service node in time, and the data processing problem of the service node is avoided.