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30results about How to "Fully express" patented technology
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Word vector learning model training method and server
InactiveCN107239443AFully expressSemantic analysisSpecial data processing applicationsAlgorithmComputer science
Embodiments of the invention provide a word vector learning model training method and a server. The method comprises the following steps of: obtaining a word meaning vector and a primitive vector corresponding to a word in a training sample text; expressing a word vector in the training sample text according to the word meaning vector or the primitive vector; and substituting the word vector expressed by the word meaning vector or the primitive vector into an existing word vector learning model and carrying out model training. The server is used for executing above method. According to the word vector learning model training method and the server provided by the invention, the word vector is expressed through the primitive vector or the word meaning vector, and the word vector learning model corresponding to the word vector expressed by the word meaning vector or the primitive vector is trained, so that the semantic information of the word can be sufficiently expressed.
Owner:TSINGHUA UNIV
Random projection fern based real-time target tracking algorithm
InactiveCN105006003AFully expressEasy to transplantImage enhancementImage analysisObject tracking algorithmVisual navigation
The invention discloses a random projection fern based real-time target tracking algorithm, and relates to machine vision and pattern recognition technologies. The target tracking algorithm comprises four steps of: step 1: an algorithm initialization module; step 2: a random projection fern training module; step 3: a random projection fern classification module; and step 4: a training set updating module. According to the target tracking algorithm provided by the invention, random projection is introduced in addition to random fern, and the target tracking algorithm has the advantages of having the fast calculation speed, few memory demands, being accurate in tracking and easy for transplanting of an embedded system, and therefore can be widely applied in the field of visual navigation, man-machine interaction and monitoring systems and the like.
Owner:BEIHANG UNIV
A label semantic learning method based on a network structure and semantic relevance measurement
ActiveCN109189936AReduce noiseFully expressSemantic analysisData miningSemantic vectorConfidence metric
The invention relates to a label semantic learning method based on a network structure and semantic relevance measurement, the method comprising the steps of initializing a label network to obtain a fact label network G based on the fact of user behavior; constructing a label network GR after the protocol stipulation according to the fact label network G; applying an improved random walk strategyto label network GR, and constructing a label network GC based on the random walk strategy; constructing a label network GT based on label-related text information; normalizing the label network GC and the label network GT, and learning the label semantic vector representation by the random walk strategy and the word vector learning method. The method of the invention is reasonable; the method makes full use of the network topology, takes into account the relevant text information contained in the node, can learn label semantic vectors, which are easy to operate, high in confidence, adequatein expression and low in noise from the topology and text expression in a relatively short period of time, can be widely used in the label network learning and label semantic learning of the text setcontaining labels.
Owner:TIANJIN UNIV OF SCI & TECH
Full cycle visual SLAM algorithm using CNNs feature detection
ActiveCN109341703AFast online computingGood location recognitionInstruments for road network navigationCharacter and pattern recognitionFull cycleNetwork architecture
The invention discloses a full-cycle visual SLAM algorithm using CNNs feature detection. First, in the front end, the original image data is pre-trained by an unsupervised model, and then the pre-trained data is used through CNN network architecture to correlate the joint representation of motion and depth with the changes in local velocity and direction, thus executing the visual odometry. Finally, the path prediction is performed. The invention also uses the OverFeat neural network model for loop detection to eliminate the accumulated errors caused by the front end and constructs a visual SLAM architecture based on deep learning. At the same time, a time and space continuity filter is constructed to verify the matching results, improve the matching accuracy and eliminate mismatching. Theinvention has tremendous advantages and potentials in improving the accuracy of visual odometry and the correct rate of closed-loop detection.
Owner:BEIHANG UNIV
Audio file cutting method and device and terminal equipment
InactiveCN106935253AReduce sizeImprove the level of utilization efficiencyElectronic editing digitised analogue information signalsComputer hardwareAudio frequency
The invention discloses an audio file cutting method and device and terminal equipment. The method comprises a step of determining an invalid audio in an audio file and a file fragment where the invalid audio is located, a step of cutting the file fragment where the invalid audio in the audio file is located, and generating a cut audio file. In the invention, the file fragment where the invalid audio in the audio file is located can be automatically determined and cut, which is equivalent to a condition that the invalid audio in the audio file is filtered. Thus under the condition of preserving a valid audio in the audio file, the storage space occupied by the audio file is reduced, and the utilization efficiency level of the storage space of equipment which stores the audio file is improved. When the audio file is played, the time of playing the invalid audio in the audio file is saved, the time and energy of listening to the invalid audio by a user are saved, the playing efficiency of the audio file is improved, and a user experience is improved.
Owner:BEIJING ANYUNSHIJI TECH CO LTD
Multi-feature fusion-based polarimetric synthetic aperture radar (SAR) image classification method
ActiveCN107330457AMaximize separabilityImprove classification resultsCharacter and pattern recognitionInterferometric synthetic aperture radarFeature set
A multi-feature fusion-based polarimetric SAR image classification method disclosed by the present invention comprises the steps of firstly extracting the polarimetric feature vectors of a to-be-classified polarimetric SAR image to obtain a high-dimension polarimetric feature set; extracting the morphological profile feature vectors of the SPAN processing results of the image to obtain a high-dimension morphological feature set; carrying out the dimension reduction processing of the locality preserving discrimination analysis on the two kinds of high-dimension features separately, and then selecting the image pixel points of the known category labels to form a training sample set, and then selecting the rest pixel points of the whole image as a classification sample set; using a maximum posterior probability-based support vector machine (SVM) to process the two kinds of low-dimension features separately to obtain the category labels and the corresponding posterior probabilities of the pixel points on the respective conditions; adopting a summation criterion or an adaptive weighted summation criterion to combine the posterior probability vectors of each pixel point on the two conditions, and according to the maximum posterior probability principle, obtaining a final classification result of the high-resolution polarimetric SAR image. According to the present invention, the classification accuracy and the efficiency of the resolution polarimetric SAR image are helpful to be improved.
Owner:UNIV OF ELECTRONIC SCI & TECH OF CHINA
Template-free universal intelligent question-answering method based on dynamic knowledge graph
ActiveCN111159385AEasy to understandImprove robustnessSemantic analysisEnergy efficient computingTheoretical computer scienceSemantics
The invention provides a template-free universal intelligent question and answer method based on a dynamic knowledge graph. The method comprises the steps of understanding natural language questions,automatically constructing a dynamic knowledge graph about entities and relationships based on ontology and question and answer contexts, determining query intentions by combining the contexts and theknowledge graph, and constructing a query-oriented dynamic knowledge graph. According to the invention, a question-answering template does not need to be constructed manually in advance, the naturallanguage query questions can be effectively converted into the dynamic knowledge graph with semantic equivalence, the dynamic knowledge graph is used for understanding the natural language questions by a general question and answer system, it is guaranteed that the dynamic knowledge graph constructed in a general question and answer scene can fully express semantics of the natural language questions, and the good question and answer effect and performance are achieved.
Owner:南京烽火星空通信发展有限公司 +1
Ontology construction methodology for complex product design
InactiveCN105205190AFully expressFully analyze the design processSpecial data processing applicationsProduct characteristicsComputer science
The invention discloses an ontology construction methodology for complex product design. The ontology construction methodology comprises the steps that requirements of knowledge needed by the design are analyzed, and the ontology using object, application background and achieving function are determined; according to the requirements and the function-behavior-structure combination, the complex product design knowledge is classified; a semantic relation framework for product design ontology construction is constructed, and the semantic relation in the complex product design is determined, wherein the semantic relation framework refers to the relation in a suggested upper merged ontology (SUMO) and the relation defined by a user according to product characteristics; UML modeling is carried out on a concept ontology and a design ontology; the concept ontology and the design ontology of a complex product are constructed; the ontology modification or improvement is carried out by adopting an ontology inspection and evaluation method. By means of the ontology construction methodology for complex product design, ontology construction is achieved in the field of complex product design, and a support is provided for design knowledge share and reusing.
Owner:NANJING UNIV OF SCI & TECH
System and method for searching word through word meaning based on computer network
InactiveCN101488130AAchieve precise matchingAvoid search resultsSpecial data processing applicationsWeb siteSearch words
The invention provides a word meaning searching system based on a computer network and a method thereof. The system comprises a server end which is provided with a database and a client end. The database comprises a Chinese character database comprising simplified Chinese characters and complex Chinese characters, a Chinese attribute database, a lexical database and a lexical attribute database. The client end is provided with a word meaning searching condition input device comprising a lexical meaning input frame and a natural classification selection frame. The server end is provided with a searching device for word meaning searching, a working platform for the processing of database information, a publishing platform for publishing database information by a website to users, a monitoring working platform, a management platform of the publishing platform and a sequencing selection module and a screening selection module for sequencing and screening primary searching results. The method comprises the following steps: users on the client end enter the server end, display a word searching condition selection frame on a page, input searching conditions and sequence and screen the primary searching results. With the invention adopted, words under the condition of appointed meaning and natural classification can be obtained.
Owner:文小凡 +1
Semantic enhanced transport vehicle acoustic information fusion method
InactiveCN102254552AImprove accuracyImprove performanceCharacter and pattern recognitionSpeech recognitionHarmonicTransducer
The invention relates to a semantic enhanced transport vehicle acoustic information fusion method, which comprises the following steps of: acquiring sound emitted by a running vehicle by utilizing a microphone array; extracting two groups of characteristics, namely harmonic characteristics X1 and key spectrum characteristics X2 from acoustic signals of the vehicle; marking available semantic attributes on the acoustic signals of the vehicle; and finally, arbitrating binary characteristic decision fusion by utilizing a semantic concept, and adopting a characteristic dimension distribution scheme when the signals are sent from a wheeled vehicle and adopting another characteristic dimension distribution scheme when the signals are sent from a tracked vehicle according to different semantic attributes. Dimensions of different characteristics are adjusted by analyzing the semantic attributes in the acoustic signals, different weighting effects are achieved, and the difference of characteristic importance is reflected, so that an effect of information fusion is improved. The accuracy of an acoustic transducer fusion system in the aspects of target identification or tracking can be improved by utilizing semantic analysis.
Owner:浙江万泰特钢有限公司
Preparation of double promoter DNA anti-caries vaccine pCN-SSIE
InactiveCN101397571AImproving immunogenicityImprove immunityPowder deliveryBacterial antigen ingredientsDual promoterSide effect
The invention provides a method for constructing dual-promoter DNA anti-caries vaccine plasmid pCN-SSIE, and a preparation method of the anti-caries vaccine by the plasmid pCN-SSIE. Antigen gene SBR is inserted in the vector pCMVnir by the molecular cloning technology, green fluorescent protein reporter gene is added in the downstream of the SBR, and the SBR and the reporter gene pass through the interior of the ribosome and enter the site gene for connection so as to prevent the fusion expression thereof; and finally, a section of signal peptide sequence is fused at the 5' end of the SBR. The anti-caries vaccine improves the immunogenicity of the anti-caries vaccine, enhances the immune effect, has simple and convenient, effective and economical immune method with long duration, and can carry out immunity repeatedly with little side effects.
Owner:济南登益得科贸有限公司
Image scene classification method based on converter model and convolutional neural network
ActiveCN113128527AFully expressImprove classification performanceCharacter and pattern recognitionNeural architecturesFeature extractionEngineering
The invention relates to an image scene classification method based on a converter model and a convolutional neural network. The method comprises the steps that two convolutional neural networks and a converter model are used in the scene classification process of an image, the converter model is used for establishing interrelation between global elements at the bottom layer of the scene image, the defects of the convolutional neural networks in scene image feature extraction are effectively overcome. Therefore, the network can pay attention to the key area in the scene from the beginning, so that the scene classification effect is improved. Features extracted by the convolutional neural network are used as additional input of a converter model to guide a coding unit to focus on an area which can form good supplementation with depth features, and a relation between a network bottom layer and a network high layer is established from the other aspect, so that model expression is more comprehensive and sufficient.
Owner:NAT UNIV OF DEFENSE TECH
Method and device for extracting key frame
ActiveCN111177460AFully expressFully express content informationInternal combustion piston enginesVideo data clustering/classificationPattern recognitionKey frame
The embodiment of the invention provides a method and a device for extracting a key frame. The method for extracting the key frame comprises the following steps: acquiring a target video; and taking the target video as the input of a key frame extraction model, and obtaining the key frame of the target video through the prediction of the key frame extraction model, wherein the key frame extractionmodel is obtained by training a neural network model according to a first loss corresponding to a sample video and a second loss corresponding to the sample video, the first loss represents the difference between the annotation key frame of the sample video and a prediction key frame predicted by the neural network model for the sample video, and the second loss represents the difference betweenthe annotation type of the sample video and the prediction type predicted by the neural network model for the sample video. The extracted key frame is effectively ensured to be related to the contentof the target video.
Owner:TENCENT TECH (SHENZHEN) CO LTD
Adjuvant of rabbit plague oral vaccine IL-2 and application
InactiveCN107201376AHigh biosecurityAvoid the problem of easy to disperse poisonSsRNA viruses positive-senseBacteriaBacilliSalmonella
The invention discloses an adjuvant of a rabbit plague oral vaccine IL-2 and application. The adjuvant of the rabbit plague oral vaccine IL-2 is prepared by mixing recombinant bacteria SL7207-PVAX1-IL-2 and the recombinant bacteria SL7207-PVAX1-VP60. The presented recombinant strains SL7207-PVAX1-IL2 and SL7207-PVAX1-VP60 of attenuated salmonella typhimurium SL7207 were constructed correspondingly and the two recombinant bacteria are immunized in rabbits together, and IL-2 could exert the immune stimulating effect to enhance the immune effect of the oral vaccine. The adjuvant has high safety, high biosafety, simple and efficient immunization method, simple vaccine preparation and double adjuvant effects.
Owner:SICHUAN AGRI UNIV
Target tracking method based on deep convolution feature adaptive integration
ActiveCN112053386AFully expressAccurate acquisitionImage enhancementImage analysisPattern recognitionCorrelation filter
The invention discloses a target tracking method based on deep convolution feature adaptive integration. The method comprises the steps of extracting deep convolution features; calculating a kernel correlation filter; updating the integrated vector of the current frame by using an integrated vector updating formula; predicting a target position of the current frame image by using a self-adaptive integrated calculation formula; updating the deep convolution feature of the current frame by using a deep convolution feature updating formula; and taking the target center position of the current frame as the center position of the to-be-tracked target when the iteration of the video image sequence containing the to-be-tracked target is ended. By integrating the features, the defect that a tracker in the prior art cannot fully utilize information contained in different channel target features is overcome, so that the position of the target to be tracked is more accurately acquired in the target tracking process, and the accuracy and reliability of target tracking are enhanced.
Owner:XIDIAN UNIV
A Polarization SAR Image Classification Method Based on Multi-Feature Fusion
ActiveCN107330457BMaximize separabilityImprove classification resultsCharacter and pattern recognitionFeature setMaximum a posteriori estimation
The invention discloses a polarization SAR image classification method based on multi-feature fusion. The present invention firstly extracts the polarization feature vector of the polarimetric SAR image to be classified to obtain a high-dimensional polarization feature set; extracts the morphological section feature vector of the image SPAN processing result to obtain a high-dimensional morphological feature set; After the features are subjected to the dimensionality reduction processing of the locality-preserving discrimination analysis, the image pixels with known category labels are selected to form the training sample set, and then the remaining pixels of the entire image are selected as the classification sample set; the two types of low-dimensional features are respectively passed through the The SVM of the maximum posterior probability obtains the category label and the corresponding posterior probability of the pixel points in each case; the summation criterion or the adaptive weighted summation criterion is used to combine the posterior probability vectors of each pixel in the two situations According to the principle of maximum a posteriori probability, the final classification result of high-resolution polarimetric SAR images is obtained. The implementation of the invention helps to improve the classification accuracy and efficiency of resolving polarimetric SAR images.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
A Vision Slam Algorithm Using CNN Feature Detection in Full Cycle
ActiveCN109341703BFast online computingGood location recognitionInstruments for road network navigationCharacter and pattern recognitionAlgorithmVision algorithms
The invention discloses a visual SLAM algorithm that adopts CNNs feature detection in the whole cycle. First, at the front end, the original image data is pre-trained with an unsupervised model, and then the pre-trained data is used to combine the joint representation of motion and depth with the CNN network architecture. Local velocities and orientation changes are correlated to perform visual odometry; finally, path prediction is performed. The present invention also uses the OverFeat neural network model to perform the loopback detection link, which is used to eliminate the accumulated error brought by the front end and construct a visual slam architecture based on deep learning. At the same time, time and space continuity filters are constructed to verify the matching results, improve the matching accuracy and eliminate false matching. The present invention has great advantages and potentials in improving the accuracy of the visual odometer and the correct rate of closed-loop detection.
Owner:BEIHANG UNIV
A Tag Semantic Learning Method Based on Network Structure and Semantic Correlation Measure
ActiveCN109189936BReduce noiseFully expressSemantic analysisData miningSemantic vectorNetwork structure
The invention relates to a label semantic learning method based on network structure and semantic correlation measurement, including initializing the label network based on user behavior facts to obtain a fact label network G; constructing a regulated label network G according to the fact label network G R ; in the label network G R Applying the improved random walk strategy to build a label network G based on the random walk strategy C ; Build a tag network G based on tag-related text information T ; for label network G C , label network G T Perform normalization processing, and learn label semantic vector representation through random walk strategy and word vector learning method. The invention has a reasonable design, not only makes full use of the network topology structure, but also takes into account the relevant text information contained in the nodes, and can learn from the topology structure and text expression to an easy-to-operate, high-confidence, full-expression, and low-noise system within a relatively short period of time. The tag semantic vector can be widely used in tag network learning and tag semantic learning of tagged text collections.
Owner:TIANJIN UNIV OF SCI & TECH
Image Scene Classification Method Based on Transformer Model and Convolutional Neural Network
ActiveCN113128527BFully expressImprove classification performanceCharacter and pattern recognitionNeural architecturesFeature extractionNeural network nn
This application relates to an image scene classification method based on a transformer model and a convolutional neural network. The method includes: in the process of classifying the scene of the image, two kinds of convolutional neural networks and a transformer model are used, wherein the transformer model is used to establish the interconnection between the global elements at the bottom layer of the scene image, effectively compensating It overcomes the shortcomings of convolutional neural network in scene image feature extraction, so that the network can focus on key areas in the scene from the beginning, thereby improving the effect of scene classification. Using the features extracted by the convolutional neural network as an additional input to the transformer model aims to guide the coding unit to focus on areas that can form a good complement to the deep features, and on the other hand, establish a connection between the bottom layer and the top layer of the network. Contact, so that the model expression is more comprehensive and sufficient.
Owner:NAT UNIV OF DEFENSE TECH
Rapid photo chatting method, system and device and storage medium
PendingCN114448926AContinuous share quicklySaving operabilityTransmissionInformation transmissionComputer graphics (images)
The invention discloses a rapid photo chatting method. The method comprises the following steps: opening a photo chatting mode interface; displaying a real-time picture in a camera shooting mode; character chat content is input in the character input area; respectively sending the picture content and the text content; and displaying the characters and the pictures shot in real time on a chat interface together. According to the invention, through a mode of combining a real situation and characters, words wanting to be spoken for a scene in front of eyes are vividly and accurately reproduced and sent out, so that emotion expression and reception are smoother and more direct, information transmission and reception are faster and more accurate, and the form is more interesting; and compared with the traditional chat software, a better effect is achieved on social attributes.
Owner:北京陌陌信息技术有限公司
An encryption method and encryption system for optical information
ActiveCN108199780BAvoid crackingImprove securityKey distribution for secure communicationElectromagnetic transmission optical aspectsLight signalSecurity level
Owner:ZHONGKE RARE EARTH (CHANGCHUN) CO LTD
Semantic enhanced transport vehicle acoustic information fusion method
InactiveCN102254552BImprove accuracyImprove performanceCharacter and pattern recognitionSpeech recognitionHarmonicTransducer
The invention relates to a semantic enhanced transport vehicle acoustic information fusion method, which comprises the following steps of: acquiring sound emitted by a running vehicle by utilizing a microphone array; extracting two groups of characteristics, namely harmonic characteristics X1 and key spectrum characteristics X2 from acoustic signals of the vehicle; marking available semantic attributes on the acoustic signals of the vehicle; and finally, arbitrating binary characteristic decision fusion by utilizing a semantic concept, and adopting a characteristic dimension distribution scheme when the signals are sent from a wheeled vehicle and adopting another characteristic dimension distribution scheme when the signals are sent from a tracked vehicle according to different semantic attributes. Dimensions of different characteristics are adjusted by analyzing the semantic attributes in the acoustic signals, different weighting effects are achieved, and the difference of characteristic importance is reflected, so that an effect of information fusion is improved. The accuracy of an acoustic transducer fusion system in the aspects of target identification or tracking can be improved by utilizing semantic analysis.
Owner:浙江万泰特钢有限公司
Method and device for animation synthesis
Disclosed are an animation synthesis method and device. According to the method, a terminal can receive text information inputted by a user and identify text keywords from the text information; then, the terminal can determine animations corresponding to the text keywords from a preset animation library, and synthesize the animations according to the sequence of the keywords in the text information, to obtain a fused animation. Compared with text information, an animation can more fully and vividly express the meaning of information. Therefore, compared with the approach in the prior art of only presenting information in the form of a text or voice, an animation converted from text information can more fully and vividly express the real meaning of the information, brining pleasure and convenience to a user during an information reading process.
Owner:厦门黑镜科技有限公司
Graph remark information generation method and device, electronic equipment and storage medium
ActiveCN110276055AFully expressEfficiently findNatural language data processingSpecial data processing applicationsScalar ValueData mining
The invention provides a graph remark information generation method and device, electronic equipment and a storage medium, and relates to the field of data statistics. The graph remark information generation method comprises the following steps: responding to a received remark instruction, and extracting a statistical object name and a scalar value of each statistical object in a graph; sorting the statistical object names according to the scalar value of each statistical object to obtain a sorting result; and finally, generating remark information of the graph according to the sorting result, wherein the remark information comprises character information used for representing the sorting result, so that the remark information of the content in the graph can be automatically generated in detail and normatively, and the remark information can be fully expressed, and a target graph can be efficiently and accurately found from a large number of graphs through the remark information or description when a subsequent worker needs to use the graph.
Owner:NEUSOFT CORP
Thermodynamic diagram-based network structure for quickly counting stephanitis chinensis drakes
ActiveCN112101214AFully expressAvoid accuracyCharacter and pattern recognitionNeural architecturesAlgorithmGenetics
The invention provides a thermodynamic diagram-based network structure for quickly counting stephanitis chinensis drakes. The network structure comprises a backbone network, a first feature fusion network and a second feature fusion network, wherein the backbone network comprises a convolution layer in a VGG16 network structure. Through the fusion of the backbone network and the first feature fusion network, shallow features are fused to deep features, and the spatial information and the detail information of the deep features are supplemented and enriched. In addition, through the fusion of the backbone network and the second feature fusion network, the deep features are reversely fused to the shallow features, so that the situation that the spatial information and the detail informationof the shallow features cannot be fully expressed after the deep feature information is enriched is avoided. Through the bidirectional feature fusion structure, the spatial information and the detailinformation of the shallow features and the deep features can be fully expressed, so that the stephanitis chinensis drakes can be identified and counted timely, quickly and accurately, and interference is avoided.
Owner:CHONGQING ACAD OF AGRI SCI
A visualization method of pump station operation information for energy efficiency assessment
ActiveCN112270164BFully expressComprehensive scientific reflectionDrawing from basic elementsNatural language data processingAlgorithmStatistical analysis
The invention provides a pumping station operation information visualization method for energy efficiency evaluation, including determining the reference flow value and reference head value of the pumping station, obtaining the flow value, head value and efficiency value of the pumping station during operation, and sorting out the pumping station A record table composed of flow normalized value, head normalized value and efficiency value during the operation process, determine several operating characteristic points and their corresponding frequency values and average efficiency values, restore the flow value and head value of the operating characteristic points and Perform steps such as visual drawing of the combination information of each operating feature point. Based on the statistical analysis of data, the present invention expresses the complex historical operation data of the pumping station into a number of representative operating characteristic points, and each operating characteristic point corresponds to statistical information such as frequency value and average efficiency value, and draws different positions, The solid circles of radius and color are used to distinguish different operating feature points, so as to complete the visualization of pumping station operating information, which has the advantages of being scientific, reasonable, intuitive and concise.
Owner:HUNAN CREDO PUMP
Preparation for pCN-SSISG of dual-promoter bivalent anti-caries DNA vaccine
InactiveCN101591666AFully expressExtend the time of expressionPowder deliveryGenetic material ingredientsAntigenDual promoter
The invention provides the construction of plasmid pCN-SSISG of bivalent dual-promoter DNA anti-caries vaccine and the preparation of anti-caries vaccine by plasmid pCN-SSISG. The construction method comprises the following steps: inserting an antigen gene SBR and an antigen gene GBR into a vector pCMVnir by using molecular cloning technology; connecting the antigen gene SBR and the antigen gene GBR through IRES to prevent fusion expression of the antigen gene SBR and the antigen gene GBR; and fusing a signal peptide gene on the 5' end of each antigen gene. The construction method increases the immunogenicity of the anti-caries vaccine and improves immunity effects. Moreover, the immunity method is simple, effective and economical, has long-lasting effect and can realize immunity repeatedly with insignificant side effects.
Owner:济南登益得科贸有限公司
Chinese novel dialogue character recognition method
ActiveCN112131343ARealize accurate identificationFully expressSemantic analysisEnergy efficient computingData scienceCharacter recognition
The invention discloses a Chinese novel dialogue character recognition method, which comprises the following steps of: 1, extracting a plurality of sentences before and after a dialogue to form an associated text, and extracting all character names as candidates; 2, selecting sentences before and after the conversation, judging whether a person name exists in the subject or not, if so, determiningthat the conversation person is the person name in the subject, and if not, continuing the next step; 3, judging whether someone names pronouns in the subject, if so, continuing the step 4, and if not, continuing the step 5; 4, matching the personal pronouns in the subject with the sexes of the candidates, judging whether the number of the candidates with the consistent sexes is 1 or not, if so,determining that the dialogue character is the candidate with the consistent sexes, and if not, continuing the step 5; and 5, calculating a candidate vector of each candidate, inputting the candidatevectors into the MLP network to obtain scores of the candidates, and determining that the dialogue person is the candidate with the highest score. The invention belongs to the technical field of information, and can realize automatic and accurate identification of dialogue characters in a Chinese novel.
Owner:EB INFORMATION TECH
Traffic Flow Prediction Method Based on Balanced Exponential Smoothing Method and Stacked Autoencoder
ActiveCN109887290BImprove forecast accuracySolve the problem of being stuck in a local optimumDetection of traffic movementStreaming dataTraffic flow
The invention provides a traffic flow prediction method based on a balance index smoothing method and a stack self encoder. The method comprises the following steps of (1) generating a training sequence and a test sequence; (2) performing preprocessing on the training sequence and the testing sequence; (3) obtaining a balance index value sequence by using the balance index smoothing method; (4) calculating the normalization value of each value in the balance index value sequence of a complete training traffic flow sequence by using a minimum maximum normalization formula, and obtaining the normalization value sequence of the complete training and test traffic flow sequence; (5) building a stack self encoder neural network; (6) training the stack self encoder neural network; and (7) testingthe normalization value sequence of the complete test traffic flow data sequence. By using the method provided by the invention, the complicated nonlinear characteristics of the traffic flow data arealso considered on the basis of considering the high-random performance of the traffic flow data; and the prediction precision of the traffic flow is improved.
Owner:XIDIAN UNIV
Photo chatting method and device and storage medium
PendingCN114443187AEasy to operateGood sharing effectExecution for user interfacesInformation transmissionComputer graphics (images)
The invention discloses a photo chatting method and device and a storage medium. The method comprises the following steps: opening a photo chatting mode interface; displaying a real-time picture in a camera shooting mode; inputting characters displayed on the photo in the character input area; sending the chat content; and displaying the characters and the pictures shot in real time on a chat interface together. According to the invention, through a mode of combining a real situation and characters, words wanting to say for a scene in front of eyes are vividly and accurately reproduced and sent out, so that emotion expression and reception are smoother and more direct, information transmission and reception are more accurate, and the form is more interesting; and compared with the traditional chat software, a better effect is achieved on social attributes.
Owner:北京陌陌信息技术有限公司
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