215 results about "Knowledge learning" patented technology

The Visual OOKS technology of the present invention comprising an Access Interface, which presents the user's needs and environment in terms of specified goals, outcomes and other related information, a plurality of user interfaces in which learning structures are embedded as navigational and organizational elements, and which are selected and presented to the user on the basis of the users specification of outcome or task goals, and further comprising of a retrieval engine and a tagged database such that the retrieval engine is able to select the appropriate knowledge object from the tagged database, logically organize them, and present to the user in terms of learning structure which has been prior presented to the user. The Visual OOKS platform may have an additional layer for appropriate visual presentation of the document. The Visual OOKS platform uses a unique Universal Classification Knowledge Framework (UCKF).

The invention discloses an online learning cognitive map generation system and method for representing the knowledge learning mastering state of a leaner in a specific field. The system comprises an intelligent terminal and a server. The intelligent terminal is used for online learning interaction. The online learning cognitive map generation system runs in the server comprising a knowledge graph construction module, a learning interaction data acquisition module, a knowledge state calculation and prediction module and a visual output module. The online learning cognitive map generation system and method are suitable for a common online learning platform and can simulate the cognitive structure of the learner and diagnose the learning defect of the leaner to provide personalized learning resources and social network services for the learner, so that learning confusion is reduced, cognitive loads are reduced, and learning pertinency and accuracy are improved.

An inter-dynamic questions-answers system communication unit for receiving input of user, mode management unit for managing current operation mode, chat robot unit for returning chat output back to user in chat mode, knowledge learning unit for learning knowledge from input of user in inter-dynamic game mode and knowledge library for storing learned knowledge. Its inter-dynamic questioning-answering method is also disclosed.

The invention relates to a system suitable for a blind person to surf the Internet, comprising an automatic server news downloading system and a client application system. A server system can realize real-time news downloading, store the news into a server and realizes real-time updating; and a client system can correspondingly respond to voice input of the blind person by virtue of voice recognition and synthesis and outputs a voice. For special case of the blind person, the system realizes three core functions of the Internet, namely information acquisition, knowledge learning and interaction. By applying the system provided by the invention, the blind person can effectively listen to news by virtue of the Internet, listen to an electronic books, inquire encyclopedia nouns and report and listen to a post, wherein the news listening system can support the blind person to sequentially listen to news in programs, and the blind person can pay close attention to interested news by keyword search and related news search.

The invention discloses a method for constructing industrial knowledge map based on industrial chain, which relates to the technical field of knowledge map in artificial intelligence. Firstly, the industrial chain is modeled, and then the industrial knowledge map is constructed according to the constructed industrial chain model. The industry knowledge map based on the industry chain established by the technical proposal of the embodiment of the invention can clearly reflect the entity-relation-entity and ' entity-eroperties-attribute value ' between the industry chains and within the industrychains, can facilitate financial researchers to further use knowledge mapping to study industrial chain conduction and event driving to find important events, to analyze information emotion and so on; The construction of industry knowledge map based on industry chain can effectively reduce the problem of excessive noise in the process of industry knowledge extraction, and the cold start problem of knowledge extraction can be avoided by using feature thesaurus to construct entity relationship.The embodiment scheme can realize incremental knowledge learning and effectively reduce the dependenceon professional researchers.

The invention relates to an inspection and repairing technology training and examination system and method for a thermal generator set turbine. The system comprises a logging in module, a determination module, a student authority module, and an administrator authority module. The logging in module is used for receiving logging in information inputted by a user. The determination module is used for determining the identity of the user according to the logging in information; if the user is a student, the student authority module is invoked; and if the user is an administrator, the administrator authority module is invoked. The student authority module is used for enabling a student to carry out basic equipment maintenance knowledge learning and maintenance skill training independently in a virtual reality environment and execute an examination task issued by the administrator. The administrator authority module is used for carrying out management on information of a department which the student belongs to and the student information and formulating a training task and / or examination task for the student. According to the invention, problems caused by using the traditional paper-based learning and examination method are solved; and thus the student can carry out independent learning of the inspection and repairing technology of the turbine set in a virtual reality environment and examination and management of the student by the administrator are also realized.

The invention discloses a technology of VR scene conversion controlled by human eyes, and belongs to the technical fields of display and demonstration. The device consists of an infrared light source, infrared light detection equipment, a control processing chip and a pair of VR glasses. By checking the eyeball position change of human eyes, the device controls VR scenes along with the change, so that the problem that the mode of scene conversion is controlled by turning the head is solved to a certain extent. The problem that a user cannot control the conversion of VR scenes or feel the change when the VR scenes are observed at different angles by turning the head is solved, the demonstration area is small, the device has flexibility and movability, showroom display can be effectively utilized, and the device is an interactive display device used for entertainment and scientific knowledge learning of people at public places such as science and technology museums.

The invention discloses a teaching system based on virtual reality technology. The teaching system comprises a teacher resource terminal and a student resource terminal. The teaching system also includes a Creator module, a visual programming module and a VR modeling module. The teacher resource terminal includes a courseware processing system, a teacher central control system, a course processingsystem. The Creator module is used for VR scene and content ordering to generate VR demonstration content, visual programming module used for establishing VR scene content, VR story task, VR model action and VR course knowledge embedded content. The VR modeling module is used to build the VR model according to the principle of pixel block stacking. The teaching system of the invention uniformly manages and integrates the teaching resources through the virtual reality technology, Using three-dimensional virtual teaching resources to assist teaching, around the software tools to get through thehardware and content, to build a complete VR creator and the use of VR technology for knowledge learning and ability training program, to form an innovative interactive teaching and training mode.

The invention discloses a knowledge learning and privacy protection based big-data user purchase intention predicating method which comprises following steps of: (1) performing normalization processing on a large number of historical data and a small number of current data; (2) grouping the data and establishing a training sample set; (3) counting user purchase intention probability of each group; (4) calculating group labels; (5) training the training set by using an improved support vector machine; (6) constructing a prediction function; (7) inputting to-be-predicted data into the predication function to obtain a prediction result. As the improved support vector machine is used in the method, the small number of current data set probability information and the large number of historical data set probability information are blended into a structural risk minimization learning framework, learning of knowledge in different periods is realized by virtue of constructing similar distance items among data, and accordingly, the knowledge learning and privacy protection based big-data user purchase intention predicating method which is applicable for learning problems of big samples is constructed.

The invention provides an intelligent diagnosis method and system for common diseases. The method includes collecting complaint information and further comprises the following steps: the step 1 of extracting a disease feature according to the complaint information and / or an answer for a question; the step 2 of inputting the disease feature into a disease diagnosis module; the step 3 of outputtinga list of suspected diseases; the step 4 of judging whether the disease is the final matched disease, if not, performing the step 1, the step 2 and the step 3 again; the step 5 of outputting the finalmatched disease. The intelligent diagnosis method and system for common diseases for common users can identify various feature factors affecting the diagnosis of the diseases and the mutual relations, and establish a disease diagnosis model, thereby assisting a clinician to complete the intelligent diagnosis of the common diseases and provide disease knowledge learning and intervention guidance.At the same time, the method and system are applicable to self diagnosis of patients and can enhance the self-disposal capability of the patients.

This invention relates to a novel technology of fingerprint verifications and identifications based on the accumulated knowledge base.

The invention discloses a recommending method based on knowledge learning, belonging to the technical field of user recommendation. The method overcomes the shortcomings of the prior collaborative filtering technology. The recommending method of the invention utilizes more interactive data between users and articles integrated by a knowledge map, and improves the recommending effect by embedding an improved sub-map. Knowledge map provides a new idea of fusion of heterogeneous data into collaborative filtering algorithm to solve the heterogeneity problem. The invention also provides a recommendation system used for a recommendation method, which is convenient for users to generate a recommendation list in time and quickly, obtains a better recommendation result, and provides a better recommendation service experience for users.

The invention discloses a network intelligent massaging device, which is provided with a massaging device and a remote health information center in network connection with the massaging device, wherein the massaging device is provided with a processing control unit, a displayer, an audible device, a data acquiring unit, a microphone receiver and a network receiving-sending module. The processing control unit is respectively connected with and controls the displayer, the audible device, the data acquiring unit, the microphone receiver and the network receiving-sending module. The remote health information center is provided with a server computer, and the server computer is connected with the network receiving-sending module. The network intelligent massaging device has the functions including automatic definition of massage procedures, identifying of language instructions, network information interaction, remote health care guidance, health care knowledge learning and the like according to physical qualifications of a user, not only enables the user to enjoy massage and guidance simulating a professional massager at home, but also enables the massage to be scientific and interesting.

The invention provides an interactive practical teaching system and method. The system comprises a student end, a teaching end, a server, a monitoring module and a feedback module. The teaching end is connected with the student end through a network and is used for sending practical training tasks; the student end is connected with the server through the network and receives the practical training tasks and obtains teaching resources for knowledge learning; the server is internally provided with a practical training module and provides the teaching resources for students to carry out simulation learning; one end of the monitoring module is connected with the student end, and is used for monitoring and recording relevant data in the student's learning and practical training process, and the other thereof is connected with the server; the feedback module is connected with the server and is for submitting the practical training results of the students to a teacher; and the feedback module is further connected with the teaching end and feeds the evaluation results of the teacher back to the students. The beneficial effects of the interactive practical teaching system and method are that course teaching, practical training, evaluation and feedback are combined through the network, so that practical training information of the students can be grasped in time, student's learning can be guided and promoted effectively, and good communication and interaction between the teacher and the students are realized.

The moving guiding device of the invention is characterized in: the device comprising a projection glisten viewpoint moving guiding device (the carrier away from human eyes), and substance shining viewpoint and / or glisten viewpoint space displacement motion guiding device. The device can increase the pleasure of visual training, consolidate the learned knowledge, combine the eye muscle training, eyeball structure reset training, stereovision and fine eyesight training, form to a carrier with a shape of double form spectacle, and increase the oculomotor condition supervising function and stereo farther view function. The oculomotor condition supervising function can extend the applied age, increase conformability for children using. The stereo farther view function solves the problem of glass type myopia therapeutic equipments failing in farther view. The device can integrate the pastime, English learning, other cultural course knowledge learning, and treat through both hands participating in the game, prevent and treat during pastime, increase the agility of the fingers, and arrive at the purpose of improving intelligence.

The embodiment of the invention provides a two-dimension code intelligent file information processing method and device and a file system. The two-dimension code intelligent file information processing method includes the steps of when the command that a knowledge learning two-dimension code is scanned through a mobile terminal is received, enabling stored knowledge learning information corresponding to the knowledge learning two-dimension code to be transmitted to the mobile terminal, when the command that an intelligent evaluation two-dimension code is scanned through the mobile terminal is received, enabling stored intelligent evaluation information corresponding to the intelligent evaluation two-dimension code to be transmitted to the mobile terminal, and when the command that a test question explanation two-dimension code is scanned through the mobile terminal is received, enabling stored test question information corresponding to the test question explanation two-dimension code to be transmitted to the mobile terminal. By means of the two-dimension code intelligent file information processing method and device and the file system, the problems that the file correcting workloads of teachers are quite large, therefore, evaluation on test results of students in the whole class can not be rapidly and accurately completed, and meanwhile the teachers can not timely solve the problems which the students can not solve and wrongly solve are solved.

The invention discloses a JH-7-A-type aircraft hydraulic system maintenance training bench. A computer simulation technology is taken as a core. An imitated device of simulation, a driving cabin correlation control panel, a control handle, a pedal, a display and other devices are used and hydraulic system simulation training software and simulation control software are cooperated so as to provide a simulation operation platform which can repeatedly carry out maintenance training for engineering maintenance personnel. Teaching functions of JH-7-A-type aircraft hydraulic system maintenance knowledge learning, maintenance work program and maintenance ability training, training effect examination and the like are realized. A trainee knows a maintenance characteristic of a JH-7-A-type aircraft hydraulic system, function composition, work principles, installation layout and crosslinking relationships of the aircraft hydraulic system and accessories, knows programs of maintenance, performance detection, a flight inspection standard, flight inspection and accessory mounting and dismounting very well, and grasps maintenance inspection, fault determination and elimination methods of the hydraulic system.

The invention discloses an image classification method based on integrated knowledge distillation, and the method comprises the following steps: (1) pre-training a teacher model, dividing the trainingprocess of the teacher model into three stages, taking out the best teacher model from each stage, and obtaining three teacher models T1, T2 and T3; (2) training a student model, dividing the training process of the student model into three stages, and jointly guiding the student model by using the obtained three teacher models in each stage; wherein the weight of the T3 in each stage is kept unchanged; the T1 has the maximum weight in the first stage, and the T2 has the maximum weight in the second stage; and (3) carrying out a picture classification task by using the trained student model,inputting to-be-classified pictures, and carrying out classification prediction. By utilizing the method, knowledge learning of the student model from the teacher model becomes simple, so that the performance of the student model is further improved, and the image classification precision is ensured while the model response speed is increased.

The invention provides a mobile situation perception teaching system supporting integration of working and learning and a mobile situation perception teaching method thereof, and is used for seamless integration of classroom knowledge learning and practice workplace skill training of vocational education. The system comprises teacher terminal equipment, learning terminal equipment, situation integration server equipment and semantic data storage server equipment. The teacher terminal equipment and the learning terminal equipment have the intelligent situation perception capability under the mobile network environment. Teachers use the teacher terminal equipment for lesson preparation and teaching. Students use the learning terminal equipment for learning and communication. The situation integration server equipment realizes situation perception information integration processing. The semantic data storage server equipment realizes semantic data storage. According to the mobile situation perception teaching system supporting integration of working and learning, real situation creation of the teachers, learning resource rapid generation and integration of classroom knowledge learning and practice workplace skill training can be supported so that the practical problem of separation of classroom knowledge learning and practice workplace skill training of vocational education can be effectively solved, students' learning enthusiasm and initiative can be stimulated and the quality of knowledge learning and skill acquisition of the students can be enhanced.

The invention discloses a remote interactive education method and a system thereof. The method mainly includes steps: a teaching user records a teaching video and uploads the teaching video to a network through a video recording and live-broadcasting device, a learning terminal learning user performs learning through login of a corresponding learning website, and a teaching terminal and a learningterminal can interact with each other through a video. Besides, technical personnel creates various scene simulation rooms and presets and stores virtual figures, instructions and operation contentscorresponding to the instructions in a database, the teaching user and the learning user enter the scene simulation room and can input the instructions through terminal devices to replace manual operation, simulation training of learned knowledge is realized, and the theoretical knowledge learning of the learning user can be effectively deepened and consolidated. The remote interactive education system comprises a teaching terminal, a learning terminal, a communication network and a server, the teaching terminal and the learning terminal realize remote interactive education through the networkserver, and the interactive teaching effect is good.

The invention discloses a BERT and LSTM-based knowledge learning system recommendation method and device, and a medium. The method comprises the steps of receiving a target knowledge point and a target mastery degree planned to be learned by a user; acquiring historical learning data of the user, and encoding the target knowledge point, the target mastery degree and the historical learning data toform an input vector; and inputting the input vector into a trained knowledge learning system recommendation model based on BERT and LSTM so as to output a recommended learning path to the user. According to the embodiment of the invention, personalized recommendation is carried out for the specific needs of the learner by utilizing the model, and a learning path more conforming to the ability ofthe learner can be provided, so that the learner can acquire and master the knowledge point forming ability more quickly. In addition, the learner learns according to the recommended learning path and feeds back in time, and the recommendation model is continuously optimized.

The invention discloses a double-person interaction identification method based on a knowledge embedded graph convolutional network, and mainly solves the problems that in the prior art, double-personassociation is neglected, double-person interaction characteristics cannot be extracted, and the double-person interaction identification accuracy is poor. According to the implementation scheme, themethod comprises the following steps: 1) designing a knowledge given graph to establish direct connection between skeleton points of two interactive persons; 2) designing a knowledge learning graph,and adaptively establishing connection between skeleton points; 3) constructing knowledge embedding graph convolution blocks capable of utilizing complementarity among different graphs; 4) sequentially connecting 10 knowledge embedded graph convolution blocks, a global pooling layer and a full connection layer to form a knowledge embedded graph convolution network; according to the double-person interaction behavior recognition method based on the knowledge embedding graph convolutional network, the accuracy of double-person interaction behavior recognition is improved, and the double-person interaction behavior recognition method based on the knowledge embedding graph convolutional network can be used for video retrieval, man-machine interaction and video understanding.

The invention belongs to the technical field of artificial intelligence. The invention discloses an artificial intelligence method and system for machine simulation of learning and working of a to-be-simulated target. The artificial intelligence system comprises a data acquisition module, a data identification module, a data analysis module, a central control module, a training module, a knowledgelearning module, an execution module, a path planning module, a data storage module, a terminal module and a display module. The thinking mode of a to-be-simulated target is permanently stored through a training module; the method has important application values for research and behavior analysis of a to-be-simulated target and thinking mode recording of an important to-be-simulated target; meanwhile, a knowledge learning module simulates a cognitive model of an objective object and an intelligent mechanism for logical reasoning based on the cognitive model to a computer system through intelligent calculation and judgment of a to-be-simulated target by a manual method. Intelligence function learning knowledge of a to-be-simulated target is simulated by a machine, and a brain-like artificial intelligence service platform is formed.

The invention provides an intelligent traditional Chinese medicine syndrome diagnosis method based on a SSTM. The method comprises steps that firstly, an electronic patient's document diagnosis and treatment record data set which can be recognized by a computer program is firstly inputted; secondly, the symptoms-syndrome theme model (SSTM) is constructed, parameter solution is carried out, and training is then carried out; and thirdly, a prediction sample is inputted, the slack SSTM is employed for incremental training, and intelligent syndrome diagnosis is carried out. The method is advantaged in that the method can be applied to a traditional Chinese medicine learning system, traditional Chinese medicine diagnosis knowledge learning and grasping difficulties are greatly reduced, the method can be further applied to each intelligent traditional Chinese medicine diagnosis and treatment system, and the method plays an important role in promoting intelligentization and standardization ofsyndrome diagnosis.

The invention provides an MES-based teaching and demonstration system. The teaching and demonstration system can simulate full-process production management process practices of different products online under the condition of separating from production hardware equipment, and also has built-in mutually independent sub-interface modes with different functions to ensure that users can carry out different production management simulation practical operation training in different sub-interface modes. In this way, the teaching and demonstration system can provide users with an all-round and realistic production and manufacturing practice environment, so as to simultaneously meet double requirements of users for book knowledge learning and knowledge practice application. In addition, because the teaching and demonstration system is equipped with production management models for a plurality of different products, the teaching and demonstration system not only can be used for simulation teaching, but also can be directly applied to real production management of corresponding different products.

The invention provides a shared handheld man-machine interaction device and a business mode thereof. An interactive platform, a central server, a cabinet and an interactive terminal are connected through a network. A family voice interaction connection is established for a user of the interaction terminal; by utilizing a service background AI system, a language semantic recognition system, biological feature recognition, virtual agent and an actuator system are constructed; voice semantic recognition and interactive voice response are completed; machine learning and decision management are perfected; interactive voice response questions of weather, traffic, clock, arithmetic, calendar, science, encyclopedic knowledge learning and the like are provided to a user; meanwhile, the real-time positioning data uploaded by the interaction terminal and the interaction platform can be received through the central server, and the data is compared with a set user age group, man-machine interactioncontent options and safety options of a central storage to judge whether to trigger an alarm or not; the handheld man-machine interaction device is light and handy and is convenient to carry; the hand-held use can be realized when people go out for activities; indoor voice control can be realized; the multifunctional voice interaction backpack can be put into a backpack, a luggage case, a file box and the like for monitoring important articles, can provide personal and property safety monitoring and alarm services for users, and can provide voice interaction responses in aspects of ancient poems, nursery rhymes, children's vocabularies, music, idioms, stories, English dialogue translation, life encyclopedia information, food recommendation and the like for the users.

The invention provides an automatic matching method for a remote sensing satellite data ground control point based on knowledge learning, comprising the following steps: contour extraction: contour information of the remote sensing satellite data ground control point is obtained according to an image of a template; content extraction: content information of the remote sensing satellite data ground control point is obtained according to image information of remote sensing satellite data; synthesis: the obtained contour information and content information are synthesized to obtain complete information of the remote sensing satellite data ground control point; matching: the obtained complete information of the remote sensing satellite data ground control point is matched with the template to obtain the offset of the remote sensing satellite data ground control point. By adopting the method, errors brought by the attitude of the remote sensing satellite can be accurately estimated, thereby having important application value in the processing work of the remote sensing satellite data.

The invention discloses a high-speed train operation condition identification method, which is characterized by, to begin with, carrying out pretreatment on vibration signal data of a high-speed train; then, carrying out variational mode decomposition on different channels of monitoring data to obtain mode function characteristics; calculating fuzzy entropy correspondingly, and obtaining feature vectors of different conditions under of a plurality of channels as samples to be tested in multi-view learning; and finally, carrying out identification through a Multi-View K-means cluster. The method has the advantages of more complete knowledge learning, simpler flow and higher operability and the like, and is mainly applied to identification of operation conditions of the high-speed train.

The invention discloses a multi-information synchronous encoding and learning device and method. The multi-information synchronous encoding and learning device comprises an audio input unit for inputting two pieces of corresponding voice signals, and an audio processing unit for aligning and arraying the central points of the two ends of each piece of voice signal and recording the two pieces of voice signals into left-channel voice and right-channel voice respectively. A left-channel earphone of an audio output unit and a right-channel earphone of the audio output unit receive the left-channel voice and the right-channel voice respectively and synchronously output the voice. The two ears of a user serve as two independent systems to simultaneously receive two sets of voice data which need to be correspondingly learnt, common encodes are formed in the memory of the brain of the user, when the corresponding signals enter the brain again, the signals can be directly recognized by the brain as information which has been learnt, a Chinese and English translation process or an associative process of objects and things which have been learnt does not need to be experienced, and therefore the learning process is completed, and the knowledge learning and memorizing effect is greatly improved for people.