214 results about "Basic knowledge" patented technology

An interactive virtual agent (avatar) system includes a plurality of databases configured to store at least one of client specific information and non-client specific information, internal resources configured to provide access to information sources, the character interface configured to receive information from a user, and respond to the user with information based on the received information, a processing engine coupled with the client knowledge database, the basic knowledge database, the internal resources, and the character interface.

A question-answering system for searching exact answers in text documents provided in the electronic or digital form to questions formulated by user in the natural language is based on automatic semantic labeling of text documents and user questions. The system performs semantic labeling with the help of markers in terms of basic knowledge types, their components and attributes, in terms of question types from the predefined classifier for target words, and in terms of components of possible answers. A matching procedure makes use of mentioned types of semantic labels to determine exact answers to questions and present them to the user in the form of fragments of sentences or a newly synthesized phrase in the natural language. Users can independently add new types of questions to the system classifier and develop required linguistic patterns for the system linguistic knowledge base.

A method of operating a printing machine and a printing machine apparatus in which basic knowledge about the interaction between operating media in the printing machine is obtained through printing trials or during production. This knowledge is stored in an expert system and made available for the printing operation or else for the production of the printing plate. The expert system is preferably a self-teaching system. For color reproduction, basic calibrations are carried out in a first quality step, in a second step, the imaging operation is adapted to the areas and half tones to be imaged, and ink-density regulation is carried out in a third step.

The invention relates to a multi-perception emergency training system for a petrochemical fire scenario, which mainly solves the problems of insufficient interaction and low scenario perceptibility in the prior art. The multi-perception emergency training system for the petrochemical fire scenario based on a B/S architecture comprises a 3D driving engine, a thermal flux sensor module, an equipment operation module, a basic knowledge database module, a scenario database module, a desktop deduction, examination and evaluation module, a server and a client computer. The system well solves the above problem, and can be used for multi-perception emergency training of petrochemical fire scenarios.

The invention discloses a virtuality-reality head-mounted display equipment distortion parameter measuring method. According to the method, a screen is made to output a formwork drawing having a coordinate system, and a virtual image is captured by employing a camera instead of eyes; an image shot by the camera is processed through image processing software so as to correct self distortion of the camera, and a corresponding coordinate is extracted; through sampling a coordinate position of an original formwork drawing and a distorted coordinate position after lens imaging, a distortion parameter of certain single-color light is figured out; the screen is made to sequentially output coordinate formwork drawings of R, G and B three colors, the previous steps are repeated, and each distortion parameter of R, G and B is acquired. Through the method, on the basis of an actual imaging state of VR head-mounted display equipment, the virtual image is captured by employing the camera instead of the eyes, repeated debugging of the parameter can be avoided, moreover, developers are not required to have basic knowledge of optical design, so reliability or operation difficulty is better than a method determining the distortion parameter through theoretical simulation.

The invention provides a knowledge graph construction method based on a knowledge point connection relation and belongs to the field of education and learning. The method comprises steps as follows: acquiring meta-knowledge points, and establishing a knowledge point database comprising the meta-knowledge points; selecting the meta-knowledge points according to content characterizing teaching knowledge points and a basic knowledge point combination having dependence relationships with the meta-knowledge points; determining path length of each meta-knowledge point, relative to a first meta-knowledge point, in the basic knowledge point combination; constructing the knowledge graph according to the dependence level and the path length. On the basis of the content, a net-like relationship graphcontaining the dependence relationships and path length values corresponding to the dependence relationships is drawn, then the knowledge graph is obtained, the meta-knowledge point with the highestcorrelation with the first meta-knowledge point can be determined at any time in the learning process, so that effects of making up the deficiencies and drawing inferences are achieved in the learningprocess, the probability of occurrence of learning blind areas is reduced, and finally, effectiveness of learning is enhanced.

The invention relates to an electric power control system with simulation training function, and a simulation training method thereof. The system comprises a control host and controllers installed on electric power devices. The controllers are electrically connected with the control host; the control host is internally provided with an accident processing module, a daily operation module, and a basic knowledge and electric power equipment preventive experiment module. The method comprises the following steps: performing accurate three-dimensional modeling on the electric power devices in all transformer station chambers; performing format conversion on generated models, and then performing DOF node and LOD special efficacy node arrangement; rendering the models, and constructing scenes; representing the change of the states of the electric power devices by use of a texture switching technology; and determining and displaying fault situations of the electric power devices by use of knowledge rules in an expert knowledge base. Compared to the prior art, the system and the method, provided by the invention have the advantages of real-time performance, reduced work load of workers, simulation of power network accidents, convenient operation, and the like.

The invention discloses an electricity usage trend abnormity suspicion analysis method and an anti-electric-larceny monitoring system. The method includes the steps of electricity usage information state estimation, electricity usage abnormity suspicion analysis of low-voltage public transformer platform regions, suspect user filtering and positioning and key suspect user monitoring, and an anti-electric-larceny knowledge base is involved in the method. The step of electricity usage information state estimation is used for dealing with abnormities and deficiency of electric energy collection readings, asymmetry of standing book information and other abnormities. The step of electricity usage abnormity suspicion analysis of the low-voltage public transformer platform regions is used for analyzing electricity usage abnormities of users in the low-voltage public transformer platform regions. The step of suspect user filtering and positioning is used for filtering out suspect electric quantity major users and positioning the suspect major users. The step of key suspect user monitoring is used for tracking electricity usage abnormity users. The anti-electric-larceny knowledge base is used for accumulating anti-electric-larceny basic knowledge. The method is used for achieving the ultimate purposes of automatically positioning the suspect users by analyzing the electricity usage abnormities of the users in the low-voltage public transformer platform regions, forming a checking name list, lowering the technical analysis intensity of anti-electric-larceny staff and improving analysis efficiency.

The invention relates to the technical field of big data, and discloses a data processing method, which comprises the following steps: collecting legal document data of a specified legal website; performing entity relationship extraction processing on the legal document data to obtain named entity objects of each legal knowledge point in the legal document data and entity relationships among the named entity objects; identifying entity attributes corresponding to the named entity objects in the legal document data by adopting a regular expression; constructing a legal knowledge structure chartbased on a chart database by taking the named entity object, the entity attribute and the entity relationship corresponding to each legal knowledge point as source data; and by taking the legal knowledge structure chart as a database, creating legal knowledge points and a similar case query page for legal knowledge retrieval. The invention further discloses a data processing device and equipmentand a computer readable storage medium. According to the constructed legal knowledge graph, basic knowledge in the legal field is collected, and the retrieval efficiency of legal personnel on the legal knowledge is improved.

The invention relates to the field of data acquisition. Specifically, a knowledge graph is constructed by using a data crawling mode. The invention further discloses a crawler-based knowledge graph processing method and device, computer equipment and a storage medium. The method comprises the following steps of crawling data information in webpage information by utilizing a crawler system; performing data cleaning on the crawled data information; performing information completion on the crawled data information subjected to data cleaning; target information, and performing feature extraction on the target information, constructing a relationship classification model according to the extracted feature information, obtaining a series of relationship entity pair data from the data informationby using the relationship classification model, and storing the relationship entity pair as a basic knowledge carrier of the knowledge graph to complete the construction of the processing knowledge graph. By means of the mode, the information can be rapidly obtained, the working efficiency can be greatly improved, and knowledge provided by the knowledge graph is beneficial for better understanding information content and carrying out information public opinion analysis.

The invention provides a circular-drying case body of a coating machine, a drying device and a drying assembly line; the circular-drying case body of the coating machine uses an independent inner air chamber; a circular air returning inlet is separated from an air exhaust outlet; a multi-point air discharging method is used so as to process independent control; the drying device is provided with an independent circular blower and an air exhaust blower; a whole guiding and shunting device is designed reasonably according to basic knowledge of fluidics; thus, each air nozzle in the case body has uniform air blowing quantity; pressure is balanced; drying uniformity is improved; therefore, each point of a product is dried synchronously so as to increase drying efficiency.

The invention relates to a software project knowledge graph automatic construction method and system. The method comprises the steps of (1) analyzing original software resource data to obtain basic knowledge entities and entity relationships of a software project, and storing the basic knowledge entities and the entity relationships in a graph database in vertex and edge forms; 2) based on the existing basic knowledge entities and the entity relationships, establishing new relationships between the entities by adopting a knowledge abstraction method, and/or adding new basic knowledge entitiesand entity relationships into a knowledge graph, and storing the new basic knowledge entities and entity relationships in the graph database in the vertex and edge forms; and 3) selecting part or allof the basic knowledge entities and the entity relationships to form the knowledge graph of the software project. Each software resource data analysis method and each knowledge abstraction method areexistent in a plug-in form; and required plug-ins are selected and run to generate the knowledge graph of the software project. The problem of extraction and organization of domain-specific knowledgein multi-source heterogeneous software resources is solved; the application range is wide; and the expandability is high.

The invention discloses a vibration multivariate remote early warning method of a hydroelectric generating set. According to the method, a running vibration basic knowledge base and a fault data base of the hydroelectric generating set are built; running vibration data of the hydroelectric generating set are remotely monitored and obtained; vibration in the running process of the hydroelectric generating set is remotely and early warned, and safe running of the set is maintained. The basic knowledge base comprises the set vibration data normal range and warning range information; the set fault data base comprises possible causes of fault generating, categories of faults and the like. The method has the advantages that the basic knowledge base and the fault data base of the hydroelectric generating set are built, and therefore when vibration data out of the normal range recorded in the basic knowledge base appear in the set, the fault causes can be found through quick comparison of the fault data base; the aim of rapidly positioning and solving the faults of the set is achieved; the fault processing efficiency is improved, and the normal running of the set is effectively ensured.

This invention provides an assistant learning tool for learners studying musical instruments composed of a touch LCD screen, a PDA host and a frame capable of adjusting the height, in which, the host includes a processor, a play and recording circuit, a Flash system and a power supply characterizing in fully utilizing powerful Window EC system, the FLAC and the WinRAR technology to store 10000 scores of the same instrument and a learner can select to display and play items, record and compile scores and transfer numerical notations, display times by the transformation of color by touching the function region of the display screen, it also includes functions of automatic page-turning and grading.

The invention discloses an industrial Internet security practical training platform based on virtualization. The invention belongs to the technical field of information security and industrial networksecurity. The system comprises an application visualization layer, a service support layer, a data support layer and a support cloud platform which are established under a standard authentication system and a security and secrecy system, a complete attack and defense teaching and practical training system is constructed; constructing a network attack and defense simulation environment based on the platform; software teaching and classroom teaching are combined, two links of classroom drilling explanation and student practice are provided, understanding and mastering of students on network attack and defense related basic knowledge are improved, teaching functions of practice, test and the like are provided, teaching and practice are combined, and the students have deeper understanding onnetwork attack and defense knowledge and technologies.

The invention discloses a simulation test system for a driving test. The simulation test system for the driving test comprises a trainee operation module and a system service module. The trainee operation module comprises a trainee login module, a driving test knowledge training module and a simulation test module. The driving test knowledge training module comprises an image-text study module and a video study module. The simulation test module comprises a basic knowledge simulation module and a safety knowledge simulation module. The system service module comprises a database module, a timing module, a login management module, a training management module and a simulation test management module and receives information of the trainee operation module. In this way, the simulation test system for the driving test can serve as a study platform for trainees making preparation for the driving test, provide different types of driving test information and simulation test questions, and is convenient to use for the trainees.

The invention discloses a social media sentiment classification method and device based on a knowledge graph. The method comprises: firstly, based on construction of a basic knowledge graph, carryingout emotion entity positioning and emotion polarity labeling on entities in the basic knowledge graph in combination with an emotion dictionary, and constructing an emotion knowledge graph suitable for social media emotion classification tasks; then, using a GAN neural network model for improving the vector embedding precision of entities and entity relationships; training word vectors by using aCBOW model, and performing sentiment word vector training by using entity attributes in the knowledge graph; and finally, based on a Bi-LSTM multi-feature fusion sentiment classification strategy, fusing a general word vector, an entity vector and a sentiment word vector to the vocabulary input vector to improve the processing performance and precision of the sentiment classification method in thesocial media application. The method and device can effectively solve the common problems of low precision, complex operation and the like of a traditional sentiment classification method, and can bequickly and flexibly applied to social media sentiment classification.

The invention belongs to the technical field of software engineering, and particularly relates to a software project and third-party library knowledge graph construction method for a software ecosystem. The method comprises the steps of obtaining basic knowledge of a software project and a release version of the software project and a version release notification of the software project by crawling and analyzing basic information; obtaining code cloning knowledge between release versions of different software projects through code cloning detection analysis; obtaining defects and defect repairknowledge in a software project release version by crawling and analyzing a defect tracking system of a software project, and analyzing link knowledge of the defects, a third-party library API and code cloning. The software project knowledge graph constructed by the method comprises software projects, software project release versions, relationships between defects and code clones and the like. The software ecosystem-oriented software project and third-party library knowledge graph constructed by the invention can support intelligent applications such as software project maturity evaluation,third-party library update recommendation, conflict detection and the like.

The invention provides a Chinese microblog sentiment classification method and system based on a Markov logic network. The method comprises the steps that microblog data are obtained from the network; predicate and rules used for expressing sentiment classes are determined according to basic knowledge of the markov logic network, corresponding characteristic words are extracted from the microblog data according to a feeling and emotion dictionary, and a MLNs knowledge base is established according to the characteristic words; according to the MLNs knowledge base and predicate and rule training classifiers, sentiment classification is conducted on the microblog data, and Chinese microblog sentiment classification results are output. The method and system can accurately classify sentiments of microblog.

The invention discloses a network security situation prediction method based on a knowledge graph. The method comprises the following steps: extracting security knowledge from network security data toconstruct a basic knowledge base; performing knowledge fusion on the safety knowledge; performing knowledge processing on the safety knowledge to obtain an extended knowledge base; constructing a Markov random field according to the extended knowledge base, and predicting a network security risk situation; wherein the network security situation prediction device comprises a knowledge extractor, aknowledge fusion device, a knowledge processor and a security predictor. According to the method, a systematic and structured network security knowledge base is provided in combination with a knowledge graph, and meanwhile, a Markov random field is combined, so that the network security risk prediction accuracy and efficiency are higher, and further guarantee is provided for network security.