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51 results about "Knowledge integration" patented technology
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Knowledge integration is the process of synthesizing multiple knowledge models (or representations) into a common model (representation). Compared to information integration, which involves merging information having different schemas and representation models, knowledge integration focuses more on synthesizing the understanding of a given subject from different perspectives.
Collaborative data and knowledge integration
InactiveUS20090070350A1Data processing applicationsDigital data information retrievalUser participationKnowledge integration
Owner:SIEMENS HEALTHCARE GMBH
Collaborative data and knowledge integration
InactiveUS8239455B2Digital data information retrievalData processing applicationsUser participationComputer science
A framework for to enable collaborative research includes enabling scientific researchers to dynamically interact with others, collaboratively author, annotate, review, comment on others' data, and discuss their research. The framework allows for providing a dynamic collaboration environment by harnessing collective contributions from a group of researchers and facilitating broader participation of people into research projects. The framework is a Web-based collaborative platform to dynamically integrate information for scientific research. Besides data integration, the system provides essential collaboration capabilities to boost user participation and collaboration. The system will not only enable users as active information contributors to bring significant new values to the data, but also provide an environment for scientific researchers to do collaborative research in a large research community.
Owner:SIEMENS HEALTHCARE GMBH
Template-based integrated design platform construction method
InactiveCN101980217ARapid designReduce workloadSpecial data processing applicationsDesign cycleSoftware engineering
The invention relates to a template-based integrated design platform construction method, which belongs to the technical field of integrated design environments. In the construction method, centered on templates, various design rules, design experiences, design algorithms and the like are packaged into the templates to generate the single templates, and then the independent templates are combined into combined templates by a flow parser, thereby realizing knowledge reuse and quick design and provide simple means for the knowledge integration, flow integration, data integration, algorithm integration, specification integration, application integration and the like in an engineering and product design process to fulfill the aims of reducing the design cost and shortening the development cycle. A platform of the invention can be widely applied to the digital integrated design of various industrial products, effectively improve the design efficiency, reduce the design cost, reduce the workload of designers and shorten the design cycle, and has vast market prospect and high application value.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
Speech content extracting method and speech content extracting device based on cloud platform
ActiveCN105957531AImprove recognition accuracyAvoid timeSpeech recognitionSpeech identificationAcoustic model
The invention discloses a speech content extracting method and a speech content extracting device based on a cloud platform. The speech content extracting method is characterized in that audio materials and video materials of a speech are acquired, and are cached in a PC for a pretreatment; the pretreated audio materials, the pretreated video materials, related data including speech slides, and related reading materials are transmitted to a server; the server is used for voice segmentation of the received audio materials, and is used for segmenting the audio materials according to speakers; automatic voice identification is used for converting the segmented audio materials into words, and adopts acoustic self-adaption and language model self-adaption; key words are extracted from texts after the voice identification, and content notes are generated. By adopting the speech content extracting method, the audio materials are converted into the text form, which can be read repeatedly, by the audio identification, and the language model self-adaption and the acoustic model self-adaption are used to improve the identification accuracy. Because of knowledge integration, time for reading redundant information is saved. The invention also discloses the speech content extracting device based on the cloud platform. The s speech content extracting device comprises a speech recording module, a material transmitting module, a voice segmenting module, a voice identifying module, and a key word and a content note extracting module.
Owner:AISPEECH CO LTD
Satellite plate and shell structure-based finite element automatic modeling method
InactiveCN107066676AImprove the level ofSolve problems such as low modeling efficiency and irregular modeling processGeometric CADDesign optimisation/simulationStructure analysisStructure of the Earth
The invention discloses a satellite plate and shell structure-based finite element automatic modeling method. For characteristics of a satellite plate and shell structure, a finite element automatic modeling system is developed by adopting PCL language programming through taking mainstream finite element modeling software MSC.Patran in the domestic aerospace field as a platform. The method comprises the following steps of (1) model importing; (2) model editing; (3) grid division; (4) material / unit attribute setting; (5) load / boundary / initial condition setting; and (6) submitting analysis and calculation. According to the method, knowledge integration of product structure design can be improved; the product structure analysis / optimization process can be standardized; the model research and development cycle can be shortened; and the model research and development cost can be reduced.
Owner:BEIHANG UNIV
Template-based integrated design platform
InactiveCN101980218ARapid designReduce workloadSpecial data processing applicationsUniform designSoftware engineering
The invention relates to a template-based integrated design platform and a construction method thereof, and belongs to the technical field of integrated design environment. The integrated design platform of the invention comprises a database generation module, an asynchronous data conversion module, a specification integration module, a knowledge integration module, a flow analysis module, an application integration module, an algorithm integration module, a template generation module and a combined template generation module, wherein the databases generated by the database generation module comprise a product database, a specification base, a knowledge base and a flow base. When used by a user, the platform directly faces the service environment of the combined template; and only the input and output of the combined template need to be operated and various integration and operation behaviors of the intermediate modules do not need to be considered. The platform solves the problems of non-uniform design environment, obvious data switching barrier, nonstandard flow and specification, low knowledge reutilization efficiency and the like in the engineering and product design process, and provides a uniform integrated design environment for the digitalization design of the engineering and products.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
Biotechnology information knowledge graph construction device and method based on text mining
ActiveCN111723215AAnalysisautomaticAutomatic analysisDatabase management systemsNatural language data processingText miningThe Internet
The invention provides a biotechnology information knowledge graph construction device and method based on text mining. The device comprises: a data acquisition module which is used for collecting biotechnology information data from the Internet and taking the biotechnology information data as an input source of the device; a data extraction module which is used for extracting the collected biological semi-structured and non-structured information data to generate structured data; a data cleaning module which is used for carrying out preprocessing operation on the biotechnology information data to generate standard data; a knowledge fusion module which is used for carrying out knowledge integration on the extracted fragmented information units to form complete biotechnology information knowledge base data; and a knowledge graph maintenance module which is used for carrying out maintenance operation on the stored knowledge graph data.The beneficial effects of automatically and efficiently analyzing, mining and processing massive information and the like are achieved.
Owner:NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT
Teaching analyzing instrument of planar linkage mechanism
The invention belongs to the technical field of teaching instruments, and relates to a teaching analyzing instrument of a planar linkage mechanism to solve the problems that an existing teaching tool display cabinet can only be statically displayed, a dynamic demonstration teaching tool is low in knowledge integration level and large in size, explaining in class cannot be easily carried out, and according to the existing teaching tool, the quick-return characteristics of the mechanism and the relation between the eccentric distance and the moving situation of a crank mechanism cannot be effectively studied. The teaching analyzing instrument comprises a first planar linkage mechanism converting and moving characteristic studying unit for carrying out four-bar mechanism conversion through rod length adjustment, a second planar linkage mechanism converting and moving characteristic studying unit and a third four-bar mechanism typical application demonstration unit, the eccentric distance is adjusted through a lifting frame, the relation of the changing of the eccentric distance and the mechanism moving situation is studied through the second planar linkage mechanism converting and moving characteristic studying unit , and the third four-bar mechanism typical application demonstration unit is used for studying the combined movement of a plurality of typical mechanisms. The three parts are installed on an aluminum profile bottom plate.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
Intelligentized sewage treatment expert system
InactiveCN105836965AConvenient and effective solutionImprove accuracyWaste based fuelSludge processingEffective solutionWater quality
The invention discloses an intelligentized sewage treatment expert system, and belongs to the technical field of environmental engineering .The expert system comprises a data storage device and a display device; input data and a data analysis result can be displayed in the display device; the display device can display two first-stage modules including the operating management problem query module and the effluent quality standard exceeding reason reasoning module; the effluent quality standard exceeding reason reasoning module is provided with five second-stage modules including the effluent TN quality standard exceeding reason judging module, the effluent NH3-N quality standard exceeding reason judging module, the effluent COD quality standard exceeding reason judging module, the effluent SS quality standard exceeding reason judging module and the effluent TP quality standard exceeding reason judging module .According to the expert system, sewage treatment field expert-level experience and knowledge are integrated into the same system platform, a more convenient way capable of effectively solving the practical problems is supplied to technicians in the sewage treatment field, checking can be conducted in time, an effective solution can be presented in time, and the operating management level of a sewage treatment plant is increased.
Owner:无锡普汇环保科技有限公司
Knowledge expression model-based complex curved surface digital manufacturing method
ActiveCN110244657AAbsorb in timeEasy maintenanceProgramme controlComputer controlNumerical controlClosed loop
The invention discloses a knowledge expression model-based complex curved surface digital manufacturing method, and the method comprises the following steps that S1, a knowledge integration module, a simulation module and an in-situ measurement-compensation module are constructed; S2, a similarity threshold alpha is established by adopting a semantic understanding reasoning strategy based on W ND IC; S3, when alpha is more than or equal to 0.95, the knowledge integration module is directly connected with and controls the in-situ measurement-compensation module; S4, when alpha is more than or equal to 0.80 and less than 0.95, the knowledge integration module is connected with and controls the simulation module to modify the defects existing in the model, after the defect modification is finished, the simulation module transmits the model data to the in-situ measurement-compensation module after data conversion, and the in-situ measurement-compensation module carries out numerical control machining; and S5, when alpha is less than 0.8, the cooperation of human experts is required to complete the process; and the knowledge expression model-based complex curved surface digital manufacturing method establishes an integrated knowledge expression model in three fields of through design, processing, simulation optimization and measurement, and based on this, a knowledge base and an inference mechanism are constructed, and the knowledge expression model-based complex curved surface digital manufacturing method provides theoretical and technical support for intelligent closed-loop manufacturing of the complex curved surface part.
Owner:HEFEI UNIV
Mobile knowledge service system on the basis of ontology model
The invention discloses a mobile knowledge service system on the basis of an ontology model and specifically relates to the field of knowledge service. The ontology construction platform system framework comprises: a resource layer, an ontology layer, a model technique layer, an application layer, a function layer, and a terminal display layer. The resource layer is used for performing resource arrangement and data abstraction in different fields; the ontology layer is used for performing knowledge integration to the resource on the basis of the ontology to form an ontology knowledge base; the model technique layer is used for designing the ontology model framework, an ontology knowledge base technique, a natural language processing technique, a semantic matching technique, an image mining technique, an internet of things technique, a mobile internet technique, and a personalized information recommendation technique and comprehensive utilization of relative techniques; the application layer is used for extending applications in different fields; the function layer is used for giving different function display to applications in different fields; the terminal display layer is used for displaying on different devices. According to the system, relative resources are organized according to the ontology model and the beneficial effect of the invention is that users can be supplied with different services at any time and at any place through mobile terminals on the internet.
Owner:北京飞舜信息技术有限公司 +1
Knowledge graph construction method fusing inference engine
PendingCN113886603ASpeed up the build processImprove accuracyRelational databasesNatural language data processingSemi-structured dataTheoretical computer science
The invention relates to a knowledge graph construction method fusing an inference engine, and belongs to the field of knowledge graphs. The method comprises the following steps: manually constructing a knowledge graph schema according to the actual condition of a service, accelerating the definition of entity attributes and relationships by utilizing an inference engine, importing semi-structured data to perform knowledge extraction, and cleaning and normalizing and disambiguating knowledge graph data; and then integrating rule design to carry out deep reasoning processing on knowledge to form a final rule knowledge base. According to the method, mass information is integrated and managed based on the structure data of the knowledge graph, rule reasoning is combined, the knowledge reasoning effect can be improved, and a more accurate reasoning result and visual display are obtained. According to the knowledge graph, multi-source heterogeneous data can be fused, the organization and relevance of the data are enhanced, and mass data can be conveniently stored and managed; wherein, an inference engine is introduced in the construction process of the knowledge graph to carry out rule design, so that deep inference and knowledge integration are effectively carried out on knowledge, the construction process of the knowledge graph is accelerated, and the data accuracy is improved.
Owner:BEIJING INST OF COMP TECH & APPL
Ultrasonic image sequence segmentation method based on sparse characteristics and shape correlation
InactiveCN107093184AAvoid incomplete description of the changing characteristics of the target shape in the image to be segmentedImprove robustnessImage enhancementImage analysisContour segmentationShape change
The invention discloses an ultrasonic image sequence segmentation method based on sparse characteristics and shape correlation. The method comprises steps that firstly, a sparse expression theory is utilized to construct an over-complete characteristic dictionary based on a target and the background, reconstruction errors of the target relative to a target and background characteristic dictionary are utilized to construct an active contour search strategy based on sparse characteristic competition; secondly, for inputted to-be-segmented ultrasonic image sequences, non-monitoring learning of change of target shapes between the ultrasonic image sequences is carried out to acquire a matrix forming an image sequence shape, the matrix is consistent with low rank attributes, the low rank attributes are taken as prior knowledge of target shape change to constraint active contour evolution; and lastly, the active contour search strategy based on sparse characteristic competition and the target shape prior knowledge are integrated into an active contour segmentation framework. The method is advantaged in that the segmentation result is more accurate and robust, and computer auxiliary treatment efficiency and the effect are improved.
Owner:HUBEI POLYTECHNIC UNIV
Tool-finite-element-analysis-oriented screw nut database creating method
ActiveCN103294866ARealize the integration of simulation analysis knowledgeAutomate the creationSpecial data processing applicationsElement analysisSimulation
The invention discloses a tool-finite-element-analysis-oriented screw nut database creating method. The tool-finite-element-analysis-oriented screw nut database creating method includes extracting CAD (computer aided design) model driving parameters and kinetic analysis parameters according to a supplier manual and creating a database, wherein the CAD model driving parameters include a part modeling main drive parameter used for modeling of driving parts, and a part modeling order driving parameter used for determining modeling order of parts and a main drive parameter relationship among the parts; building a CAD parameterized geometric model of a corresponding screw nut component according to database driving parameters; building a simplified screw nut secondary kinetic model in finite element analysis software according to screw nut dimension parameters; extracting finite element analysis parameters of the screw nut component in the database through secondary development of CAD and CAE (computer aided engineering) software, and loading the finite element analysis parameters into the screw nut secondary kinetic model by the aid of command stream languages of the finite element analysis software. CAD and CAE models of the screw nut component, simulated analysis and knowledge integration in tool design are realized, and analysis models are built automatically.
Owner:TIANJIN UNIV
Speech abstract generation method and apparatus
InactiveCN105930471AAbstract exactAbstract structuredNatural language data processingSpecial data processing applicationsEntity linkingMulti aspect
The invention discloses a speech abstract generation method and apparatus. The method comprises the steps of analyzing a content note and a speech slide to generate a speech outline; generating an extended speech outline by utilizing the speech outline and related reading materials; and analyzing the extended speech outline to obtain a speech keyword related to speech knowledge content, finding a corresponding interpretation entry of the speech keyword in a knowledge base, and generating a final abstract. According to the method, multi-aspect content such as the content note, the speech slide and extended reading are subjected to knowledge integration and extension to obtain the speech abstract, and accurate interpretation of the speech keyword is obtained by utilizing the external knowledge base; and the accurate and structured abstract of the speech content is obtained. The invention furthermore discloses the speech abstract generation apparatus based on the speech slide, the content note and the extended reading. The apparatus comprises a speech outline generation module, an extended speech outline generation module and a speech keyword entity linking module.
Owner:SHANGHAI JIAO TONG UNIV
Tag recommendation method of online question and answer platform based on knowledge graph and tag association
ActiveCN113672693AMitigate the long tail effectImprove recommendation effectNeural architecturesText database indexingQuestions and answersKnowledge graph
Owner:NORTHEAST FORESTRY UNIVERSITY
Neural network training method and device, equipment and computer storage medium
PendingCN113222139AEfficient Training SupervisionEffective soft labelCharacter and pattern recognitionNeural architecturesPrediction probabilityEngineering
The embodiment of the invention discloses a neural network training method and device, equipment and a computer storage medium. The neural network training method comprises the steps of executing a loop process until soft labels meeting a preset number of anchoring samples are obtained; training a neural network at least based on the soft labels of the preset number of anchoring samples and the preset number of anchoring samples, wherein a current anchoring sample and at least one knowledge transfer sample are determined from the current training sample set in each period of executing the loop process; based on the neural network, determining the similarity between the current anchoring sample and each knowledge transfer sample, and the prediction probability of the current anchoring sample and the prediction probability of each knowledge transfer sample; and determining a soft label of the current anchoring sample based on the similarity between the current anchoring sample and each knowledge transfer sample, the prediction probability of the current anchoring sample and the prediction probability of each knowledge transfer sample. Knowledge integration under a self-distillation algorithm is realized.
Owner:SENSETIME GRP LTD +1
Citrus knowledge modeling and large scale ontology generation method based on agriculture eight-word policy
InactiveCN107133671ASolve the integrationSolve the problem of ontology collaborative developmentData processing applicationsKnowledge representationKnowledge classificationKnowledge framework
The invention discloses a citrus knowledge modeling and large scale ontology generation method based on an agriculture eight-word policy. The method comprises the following steps: S1, based on the agriculture eight-word policy, knowledge in the citrus planting field is classified, wherein each word is corresponding to one type, and eight types are formed; S2, as for each type, concepts contained in the type are recognized, and the relationship among the concepts is built; S3, the eight types are used to form a citrus planting knowledge framework KF with the relationship among the concepts, wherein KF=(T, S), T is a citrus planting knowledge type, and S is a semantic relational layer; S4, the citrus planting knowledge framework is converted to eight sub ontologies; and S5, the eight sub ontologies are merged to form a large scale ontology. According to the method of integrating the citrus planting field knowledge based on the agriculture eight-word policy, the difficult problems of agriculture field knowledge integration and ontology collaborative development can be solved, and a complete scheme is provided for building and managing the large scale agriculture ontology.
Owner:SOUTHWEST UNIVERSITY
An intelligent knowledge integration and retrieval system and method based on an ontology CallCenter platform
PendingCN109783067AEase of difficultyNo blind spotsSoftware designDatabase design/maintainanceInformation repositoryUser input
The invention belongs to the technical field of software development, and particularly relates to an intelligent knowledge integration and retrieval system and method of a Call Center operation and maintenance service platform based on an ontology. The system comprises a document processor, a query conversion module, a proxy retrieval module, a customized processing module, a user interface, a body library and an information library. The user inputs a query statement through a user interface; The query conversion module searches a corresponding concept in the ontology library, performs query conversion on the query according to the obtained information according to the matched concept in the domain ontology, and then queries in an information base by the retrieval agent module; And the query result is processed by the customized processing module and is displayed by the user interface. According to the invention, more humanized services are provided for users; Operation and maintenanceare enabled to adapt to user requirements; Accurate integrated matching retrieval is realized, and the information of the knowledge base follows the trend day-to-day difference.
Owner:FUDAN UNIV
Method and apparatus for maintenance of field equipment in factory
PendingCN111882084AIncrease productivityHighly integratedData processing applicationsSpecial data processing applicationsTemporal learningEquipment/device
The embodiment of the invention provides a method for maintenance of field equipment in a factory, and the method comprises the steps: obtaining equipment data of the field equipment, wherein the equipment data represents a current event of the field equipment; generating recommended actions for events based on the equipment data by using a knowledge model of the field equipment, the knowledge model including possible event types for the field equipment and corresponding actions for each event type; and providing a recommended action to maintain the equipment device. Through the method, the knowledge integration level and transparency of the field equipment are improved, and accurate maintenance suggestions can be recommended to field personnel. On-site personnel do not need to spend energy and time in learning maintenance manual of different field equipment, and can quickly and effectively maintain the field equipment, so that the accuracy and high efficiency of maintenance are ensured, and the production efficiency of a factory is improved. In addition, along with continuous knowledge expansion and accumulation of a knowledge model, more intelligent and more accurate recommendation can be realized.
Owner:SIEMENS FACTORY AUTOMATION ENG
Digital library knowledge retrieval method and device
PendingCN111061828AReduce use costReduce the burden onText database indexingText database queryingUser inputKnowledge content
The invention relates to the technical field of knowledge retrieval, and discloses a digital library knowledge retrieval method, which comprises the following steps: processing data collected in a digital library sentence by sentence to obtain key sentences for revealing knowledge contents; converting the key statement into a knowledge unit according to a defined knowledge unit structure model; splitting each knowledge unit into a plurality of RDF triples, and creating an instance index according to each RDF triple; creating a class index according to the association relationship among all theknowledge units; obtaining user input information, retrieving a selected RDF triad related to the user input information in the instance index, and retrieving an associated RDF triad related to the selected RDF triad in the class index; and returning a retrieval result according to the selected RDF triad and the associated RDF triad. According to the invention, fine-grained retrieval can be realized, and the knowledge integration level is high.
Owner:HUAZHONG NORMAL UNIV
A Chinese Question Answering System Based on Neural Network
InactiveCN101566998BDoes not cause overexpansionImprove accuracyNeural learning methodsSpecial data processing applicationsNerve networkSemantics
The invention discloses a Chinese question answering system based on a neural network, which includes a user interface module, a question pre-segmentation module, a neuron pre-marking module, a learning and training module, a neuron knowledge base module, a semantic block recognition module, a question set index module and Answer reasoning module. Through this system, the SIE encoding method is first used to encode the words in the semantic block according to their relative positions; then the problem of identifying the semantic block of the question sentence is transformed into a label classification problem, and the classification model based on the neural network is used to determine the semantic structure of the question sentence ;Finally, combined with the semantic structure of the question, realize the similarity calculation of the question based on the neural network, and compare the weights between the semantic features of the question by extracting the semantic features of the marked question to provide a basis for the final answer reasoning. The invention integrates the syntax, semantics and context knowledge of sentences, and can simulate the process of processing sentences by humans.
Owner:HUAZHONG NORMAL UNIV
Word distributed representation learning system based on emotional knowledge enhancement
ActiveCN114417814APromote generationAdded Knowledge Noise Optimization ObjectiveNatural language data processingText database queryingWord representationKnowledge generation
The invention relates to the technical field of emotion detection and emotion analysis, in particular to a word distributed representation learning system based on emotion knowledge enhancement, which comprises an emotion knowledge integration framework and a weak supervision knowledge generation framework, the emotional knowledge integration framework comprises a knowledge query module, a knowledge integration module and a word representation generation module; the weak supervision knowledge generation framework is used for generating a domain sentiment dictionary DSD, and the DSD integrates resources of three parts, namely, a non-label text of a target domain, a domain-independent sentiment dictionary and a label of the target domain text. According to the method, emotional knowledge integration can be well carried out.
Owner:GUILIN UNIV OF ELECTRONIC TECH
A digital manufacturing method of complex surface based on knowledge representation model
ActiveCN110244657BAbsorb in timeEasy maintenanceProgramme controlComputer controlNumerical controlData transformation
The invention discloses a complex curved surface digital manufacturing method based on a knowledge expression model, comprising the following steps: S1, constructing a knowledge integration module, a simulation module and an in-situ measurement-compensation module; S2, adopting semantic understanding based on W-ND-IC The reasoning strategy formulates the similarity threshold α; S3. When α≥0.95, the knowledge integration module directly connects and controls the in-situ measurement-compensation module; S4. When 0.95>α≥0.80, the knowledge integration module connects and controls the simulation module to The defects existing in the model are modified, and after the defect modification is completed, the simulation module transfers the model data to the in-situ measurement-compensation module for numerical control processing after data conversion; S5. When α<0.8, manual experts are required to cooperate to complete; the invention establishes An integrated knowledge expression model that runs through the three fields of design, processing, simulation optimization, and measurement, and builds a knowledge base and reasoning mechanism based on this to provide theoretical and technical support for the intelligent closed-loop manufacturing of complex curved surface parts.
Owner:HEFEI UNIV
Domain adaptive target recognition method based on deep knowledge integration
PendingCN113657541AImprove robustnessRealize deep knowledge integrationCharacter and pattern recognitionNeural architecturesOnline learningKnowledge integration
The invention belongs to the technical field of target recognition, and particularly relates to a domain adaptive target recognition method based on deep knowledge integration. According to the method, feature-level and decision-level deep knowledge integration is realized. A public mapping matrix and a specific mapping matrix are designed at a feature level to realize knowledge integration, and the robustness of target recognition performance is improved; and the public mapping matrix fully excavates public knowledge of heterogeneous features, and the specific mapping matrix retains specific knowledge of different features. Feature weights are designed at the decision level to quantify the importance degrees of different features, meanwhile, the feature weights are updated through online learning by means of target domain samples, the data distribution difference of different fields is overcome, and field self-adaptive target recognition is achieved. Therefore, the domain adaptive target recognition method based on deep knowledge integration provided by the invention is an intelligent domain adaptive target recognition method.
Owner:YANGTZE DELTA REGION INST (QUZHOU) UNIV OF ELECTRONIC SCI & TECH OF CHINA
Integrated optimization system for scheduling problem of distributed zero-latency flow shop
PendingCN113359630AEfficient use ofEfficient searchTotal factory controlProgramme total factory controlDescent algorithmManufacturing scheduling
The invention relates to the technical field of manufacturing scheduling, in particular to an integrated optimization system for ascheduling problem of a distributed zero-latency flow shop, which mainly comprises a workpiece initialization module, an inter-factory sequence optimization module and an in-factory sequence optimization module. In the workpiece initialization module, model knowledge and problem information are collected, a series of initial solutions is constructed as initial feasible solution groups of the distributed zero-latency flow shop scheduling optimization integrated system with the delivery window; the inter-factory sequence optimization module estimates the inter-factory sequence distribution by collecting the distribution rule of excellent individuals in an initial solution, and determines a rough potential search range through effective knowledge integration; and in the in-factory sequence optimization module, a variable neighborhood descent algorithm is adopted to carry out local adjustment on sorting in all factories, in the algorithm, knowledge in the problem is combined, three domain structures are provided to guide local adjustment, and adjustment blindness is reduced.
Owner:LANZHOU UNIVERSITY OF TECHNOLOGY
Silkworm production element recommendation system and method based on knowledge base
PendingCN113016727AAble to learnAchieve optimizationDatabase management systemsDesign optimisation/simulationEconomic benefitsData bank
The invention discloses a silkworm production element recommendation system and method based on a knowledge base. The system comprises a database, the knowledge base, a terminal and an inference machine, wherein the database stores production element information; the knowledge base stores relevant knowledge in the silkworm breeding field, integrates the knowledge into knowledge data and performs mathematical modeling to form a numerical system; the terminal is used for man-machine interaction, receives information transmitted by the database and the knowledge base and transmits the information to the inference machine; and the inference machine generates and pushes a production element setting scheme to the terminal. Through the technical scheme, the problem that at present, silkworm breeding has an excessively high requirement for personnel quality can be effectively solved, therefore, the working threshold and production risk can be lowered, the silkworm survival rate and silkworm cocoon quality are further improved, and more economic benefits are brought to the silkworm industry.
Owner:ZHEJIANG SCI-TECH UNIV
A data self-distillation method based on batch processing knowledge ensemble (BAKE)
PendingCN113869434AImplement canonical storageLow costCharacter and pattern recognitionNeural architecturesBatch processingNetwork architecture
The invention discloses the technical field of target detection, and particularly relates to a data self-distillation method based on batch processing knowledge ensemble (BAKE), which comprises the following steps: S1, giving a small batch of samples and a network in training, and storing similar samples; s2, avoiding self-cognition enhancement, and normalizing the affinity matrix A; s3, predicting samples in one batch, and then obtaining and forming a soft learning target; s4, realizing complete integration of knowledge. Compared with an existing knowledge integration method, the problem that traditional knowledge integration needs to be processed through an additional network or branch is solved, the needed calculation amount and memory overhead are saved, BAKE is applied to a network architecture, the classification performance of the network architecture can be improved, and wrong supervision caused in the processing process is avoided.
Owner:FOSHAN NANHAI GUANGDONG TECH UNIV CNC EQUIP COOP INNOVATION INST +1
Method and device for extracting speech content based on cloud platform
ActiveCN105957531BImprove recognition accuracyAvoid timeSpeech recognitionAcoustic modelSpeech recording
The invention discloses a speech content extracting method and a speech content extracting device based on a cloud platform. The speech content extracting method is characterized in that audio materials and video materials of a speech are acquired, and are cached in a PC for a pretreatment; the pretreated audio materials, the pretreated video materials, related data including speech slides, and related reading materials are transmitted to a server; the server is used for voice segmentation of the received audio materials, and is used for segmenting the audio materials according to speakers; automatic voice identification is used for converting the segmented audio materials into words, and adopts acoustic self-adaption and language model self-adaption; key words are extracted from texts after the voice identification, and content notes are generated. By adopting the speech content extracting method, the audio materials are converted into the text form, which can be read repeatedly, by the audio identification, and the language model self-adaption and the acoustic model self-adaption are used to improve the identification accuracy. Because of knowledge integration, time for reading redundant information is saved. The invention also discloses the speech content extracting device based on the cloud platform. The s speech content extracting device comprises a speech recording module, a material transmitting module, a voice segmenting module, a voice identifying module, and a key word and a content note extracting module.
Owner:AISPEECH CO LTD
Internet important infrastructure knowledge graph construction method and device
ActiveCN113507486AThe following effects are achieved: (1) Data acquisition can be achieved by using the described methodThe following effects are achieved: (1) Knowledge extraction can be achieved by using the described methodWeb data indexingPlatform integrity maintainanceSemi-structured dataThe Internet
The invention provides an internet important infrastructure knowledge graph construction method and device, and the method comprises the steps of constructing an internet important infrastructure ontology model, and obtaining each piece of structured and semi-structured data of an internet infrastructure based on the internet important infrastructure ontology model; based on a preset extraction rule, extracting knowledge from the structured and semi-structured data, and constructing a knowledge graph; using a Neo4j graph database for storing the knowledge graph, providing two import modes of full-database import and incremental import, and using the corresponding import modes according to different import scenes to form the Internet important infrastructure knowledge graph. According to the scheme, multi-source heterogeneous data and knowledge are integrated into a unified model for analysis and utilization; the network security situation is inquired and displayed based on a knowledge graph display mode.
Owner:NAT UNIV OF DEFENSE TECH
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