94 results about "Knowledge module" patented technology

An electronic assistant which dispatches tasks on the user's behalf and according to his or her preferences is disclosed. The assistant has an enactor for processing data received from a sensor and for changing its environment via an actuator. The enactor receives instruction from a predictor / goal generator, which in turn is connected to a general knowledge warehouse. Additionally, the warehouse and the predictor / goal generator are connected to a plurality of specialist knowledge modules, including a scheduler, an information locator, a communicator, a form filler, a trainer, a legal expert, a medical expert and other experts. The electronic assistant provides an interface which frees the user from learning complex search languages and allows some functions to be automatically performed. A variety of machine learning processes allow the assistant to learn the user's styles, techniques, preferences and interests. After learning about the user's interests in particular types of information, the assistant guides the user through the process of on-line information source selection, utilization, and interaction management via the information locator. The information locator generates a query conforming to the user characteristics for retrieving data of interest. The information locator next submits the query to one or more information sources. Upon receipt of results of the submitted query, the information locator communicates the results to the user, and updates the knowledge warehouse with responses from the user to the results. The assistant supports the ability to refine the query and to manage the costs associated with the search. Further, the assistant automatically incorporates data relating to changes in the query interface and other relevant characteristics of the information sources so that search command sequences can be altered without user interaction. The search configuration of each search carried out by the user is saved in a database. The data maintained in the database includes keywords and concepts for search, interval between subsequent searches, deadline for the search, the number of documents to acquire from each engine, and domain over which to do the search, including the preferred set of search engines or the preferred set of news groups.

Apparatus for monitoring operation of a processing system includes a set of modules for monitoring operation of a set of system primitives that allocate or release the system resources and are used by different processes running on the system. Preferably, the modules include at least one application knowledge module tracking the processes running on the system and monitoring the resources used thereby, a network knowledge module monitoring connections by the processes running on the system, a file-system analysis module monitoring the file-related operations performed within the system, and a device monitoring module monitoring operation of commonly used modules with the system. A preferred field of application is in host-based intrusion detection systems.

The present invention discloses an intelligent interactive question-answering system, which includes a knowledge module used to provide information for the user to query; an interactive module used for information interaction between the system and the user; and a processing module used for searching the answering information in knowledge module according to the question of the user; the knowledge module includes a question classification base used to store the question information and a knowledge base used to store the answering information; the processing module includes a semantic analysis module used to analyze the natural language for the problem of the user to generate query conditions; an information searching module used to search in the knowledge base according to the query condition; and a result generation module used to generate answers according to the searching results. The present invention discloses a question-answering processing method of an intelligent interactive question-answering system simultaneously. The present invention provides a rapid and simple system and method for obtaining the demanded information, so as to improve the processing ability for problems and the processing accuracy.

Apparatus for computer network management, comprising: a knowledge definer, operable for defining a knowledge module comprised of a plurality of knowledge items, hierarchically arranged according to technologies, each of the knowledge items comprising possible values for a configuration activity of one of the technologies. The apparatus further includes a policy definer, associated with the knowledge definer, operable for defining at least one technical policy based on the knowledge module, usable for overriding selected values of the possible values while keeping remaining values of the possible values, the technical policy inheriting from the knowledge module.

A clinical decision support system enabling sharing of medical knowledge in a machine executable format, implementable as a network-based system in which individual executable knowledge modules (EKMs) define the data requirements for assessing a patient, the conclusions that can be drawn using that data, and instructions on how to generate those conclusions. Using standards-based messages transmitted over a network, client decision support applications provide patient data to the system and receive patient-specific assessments and recommendations. The system permits re-use of executable medical knowledge across diverse applications and care settings, easy authoring of knowledge modules, and use of the system framework to implement decision support applications having significant clinical utility.

The invention discloses an agent-based construction method and device of an intuitionistic fuzzy theory medical diagnosis model. With the adoption of a sensor technique and an artificial intelligence technology, remote and automatic acquisition and transmission of patient symptom are achieved; diagnosis analysis is carried out on the patient symptom by an intelligent medical diagnosis model built based on an intuitionistic fuzzy theory; the patient symptom is continuously updated and completed by a systematic knowledge module, namely a symptom-disease knowledge base and a disease-medicine knowledge base, and the diagnosis effect of the system is improved and enhanced; and on the condition that the existing medical staff, resources and technology are limited and the ageing population of China is faster, agent-based intelligent medical diagnosis system (AIMD) design is changed to ATM in a substantialization way and is installed in an aged community, convenient and high-efficiency medical services are provided for a patient through self-service terminal services, and the medical stress is effectively relieved. By the medical service mode, the medical clinic time is saved, and the medical cost is also reduced.

The invention discloses an urban smog treatment coordinating system. The urban smog treatment coordinating system comprises two subsystems, namely an urban smog online monitoring system and an urban three-dimensional smog treatment system, wherein the urban smog online monitoring system comprises a cloud server and a plurality of terminals of Internet of things; the urban three-dimensional smog treatment system comprises a smog jetting system and a smog cannon system. The system can effectively monitor the dust content of all regions, analyze air conditions in real time, release monitoring results in time and bring great convenience to the production and living of the public. Smog eliminating operation is carried out through the regulation and control of the smog jetting system and the smog cannon system. The terminals of Internet of things are provided with smog knowledge, smog prevention and emission reduction knowledge modules, and smog knowledge dissemination and smog early warning guidance functions can be achieved. Big data analysis is carried out on monitoring data collected by the cloud server, and a large quantity of key data can be accumulated for meteorological department and environmental protection department about urban smog emission sources and pollution monitoring.

The invention discloses a recommendation engine based on an interest graph. The recommendation engine calculates and obtains association of objects and users through data digging by combining multi-dimension by means of an open source project Mahout through a weight factor allocation recommendation algorithm, and recommends intelligently for the users through weight dynamic adjustment and fine adjustment data feedback. The recommendation engine comprises a recommendation module and a recommendation context integrating module. The recommendation module comprises a Mahout user preference recommendation module, an attribute recommendation knowledge module based on the users and a system allocation context recommendation module. The recommendation context integrating module comprises a weight factor integrating context module, a Pylons Controller user recommendation Api interface, a user registering and inquiring interface, and a Pylons View layer. According to the recommendation engine, the loading efficiency of system performance is maximized, and the engine recommends topics , tasks and problems for the users intelligently according to interests of the users, so that the better user experience is realized.

The invention discloses an automatic test paper composition method in a B / S (Brower / Server) mode based on a knowledge hierarchy in the field of computers. The method comprises the following steps of 1, judging whether the current question bank meets a test paper composition requirement according to a test paper composition condition and resetting a test paper composition parameter if the current question bank fails to meet the test paper composition requirement; 2, sequentially and circularly drawing questions which are not drawn previously in a specified question type for test papers until all required questions are drawn by a random drawing algorithm based on the knowledge hierarchy in the constructed field, in accordance with a sequence of a knowledge module and a knowledge unit in the module and by following a priority principle of knowledge points of the questions which are not drawn; and 3, computing an average difficulty value of each question type in the test papers after drawing completion and performing difficulty value adjustment with a circular replacement algorithm until the requirement is met. With the adoption of the method, demands that the test papers have no repeated test questions, the knowledge points of the test papers are evenly distribution and maximized, the difficulty of the same question types of the test papers is consistent and a test paper composition range can be flexibly set can be ensured when the test papers are required to be simultaneously composed.

The invention relates to a data analysis management system based on a storm surge prediction model, and the system comprises a storm surge condition information database, a visual management terminal and a data graphical analyzer, wherein the storm surge condition information database is used for storing the surge level, air pressure, wind force, wind direction and ocean current at a surge monitoring station, and employing a mode of SQL SERVER network database. The visual management terminal is used for carrying out the visual representation of related information of the system, brings convenience to an operator for management and data analysis, and mainly comprises a system management module, an observation station information module, a surge level information module, a typical storm surge information module, a surge prediction module, and a storm surge knowledge module. The data graphical analyzer is an analysis tool which is designed based on the GUI of MATLAB, has mathematical analysis algorithms of data clustering, regression analysis and deviation analysis and comprises a plurality of drawing modes. The system facilitates the data analysis and visual management.

The invention belongs to an electric power design institute / station new recruit training and management system, and relates to a training and management method for pre-employment electric power design personnel. The electric power design institute / station new recruit training and management system comprises a basic theoretical knowledge module, a rule standardizing module, a software learning module, a field practice module, an excellent design case module, a new technology subject learning module, a training and checking module, a training effect evaluation module. An online training and management system suitable for electric power design institute / station new recruits before post determining is provided, and new electric power design staff can comprehensively master the basic electric power design skills.

The invention discloses a supporting design specialist system for a bolt-grouting of a coal mine soft rock tunnel, belonging to the control of a coal mine tunnel pressure and wall rocks. The system comprises (1) a specialist knowledge module of bolt-grouting supporting in a soft rock tunnel; (2) a successful case database module of bolt-grouting supporting project practices in the soft rock tunnel; (3) a primitive data input module of a newly-established soft rock tunnel project; (4) a form inference design module of bolt-grouting supporting in the soft rock tunnel; (5) a parameter inference design module of bolt-grouting supporting in the soft rock tunnel; (6) a structural bearing capability evaluation module of bolt-grouting supporting in the soft rock tunnel; (7) a design report automatic generation module of bolt-grouting supporting in the soft rock tunnel; and (8) a constructional assignment graph drawing module of bolt-grouting supporting in the soft rock tunnel. According to the system, calculation and analysis processes on mathematics and mechanics involved in the bolt-grouting supporting design of the soft rock tunnel are embedded into a background of the system for processing, and according to a design result, a design report of bolt-grouting supporting is rapidly compiled, and a constructional assignment graph of bolt-grouting supporting is drawn. The system widely faces to the front engineering technician of a spot coal mine, and has strong practicability.

A system is provided for generating an optimized speech model by training a knowledge module on a knowledge graph. A language module is trained on unlabeled text data and a speech module is trained on unlabeled acoustic data. The knowledge module is integrated with the language module to perform semantic analysis using knowledge-graph based information. The speech module is then aligned to the language module of the integrated knowledge-language module. The speech module is then configured as an optimized speech model configured to leverage acoustic and language information in natural language processing tasks.

The embodiment of the invention relates to a method and a device for collecting a log. The method comprises the following steps: reading at least one log knowledge module from a log knowledge module list by a log client side; executing the log knowledge module, analyzing a log file of the corresponding operation system or application system, and collecting target content information of the log file; and transmitting the collected target content information to a log server side. Therefore, the comprehensiveness and applicability of collected information can be improved; the collection method is simple; and the collection efficiency can be greatly improved.

The invention discloses a computer subsidiary product assembling sequence generation method, belonging to the computer aided manufacturing technical field; the method comprises the following steps: firstly based on a layering task net programming method, building a product assembling knowledge base structure; secondly, virtual assembling body binding process, namely, using the layering structure of the virtual assembling body and the connecting structure of components and parts as a guide, binding the real components and parts to the corresponding virtual components and parts of the virtual assembling body; and finally generating the bound product assembling sequence based on the virtual assembling body; wherein the product assembling knowledge base structure comprises four knowledge modules which are of components and parts collection, assembling body layering structure, task layering and task decomposition strategy. The generation method can cause the structure of the product assembling sequence planning knowledge base to become clearer and be easily understood, the layering design of the task and the decision of decomposition tragedy to be more methodic and pertinence, thus increasing the generative flexibility and efficiency of the product assembling sequence and promoting the application of the computer subsidiary product assembling sequence in the intelligent manufacturing field.

The invention discloses a car double-layer parking system based on the internet. The car double-layer parking system comprises a website platform service system, a mobile phone App service system and a car double-layer parking physical system. The website platform service system comprises a reservation parking module, a parking space displaying module and an operation application knowledge module. The mobile phone App service system comprises an identification check module, a parking space reservation module, a time-based billing module, a vehicle state module, a real-time information communication module and a problem consulting module. The car double-layer parking physical system comprises an automatic loading device, a parking space bottom pressure sensor mounted on a parking space automatic loading bottom plate and an ECU. According to the car double-layer parking system based on the internet, the internet technology and the car automatic loading in-position technology are applied, parking space reservation service and car double-layer parking physical system automatic loading in-position service are provided, the integration operation mode of parking space reservation for parking and real-time parking is adopted, the life of people is facilitated, and the pressure of city parking space lacking is effectively relieved.

A computer system has a main system to execute an application in cooperation with a human user. The auxiliary system evaluates problems in the main system. The auxiliary system has a service module to collect problem related data from the main system, an acquisition module to acquire knowledge representations, a knowledge module to store knowledge representations, an inference module for processing problem related data with knowledge representations to identify solutions and for forwarding the solutions through the service module to the main system. The main system has a client / server configuration with a database, an application server, and a front-end-server. The auxiliary system uses basis functions of the main system.

The invention provides an active monitoring data pushing method of a server. The active monitoring data pushing method of the server is characterized in that a data active pushing agent system is installed on an operation system of the server so as to combine monitoring methods of various servers, unify monitoring data formats and send completed and readable monitoring data to a monitoring service end, the data active pushing agent system structurally comprises a data monitoring control center (1), a knowledge expansion module (2), a monitoring data management module (3), a monitoring data knowledge module (4) and a monitoring data memory module (5), the data active pushing agent system performs modularization processing on collection, collation, analysis and transmission of the monitoring data and performs expansion of monitoring modes, and the whole collection process of the monitoring data is completed by being globally controlled through the data monitoring control center. Furthermore, a user can install an agent program of the data active pushing agent system on the operation system of the server, and then collection, collation, analysis and display of complex monitoring data can be achieved.

The invention relates to the field of laboratory management technology, and discloses a laboratory management system. The laboratory management system comprises a control center, as well as an experimental learning management module, an experimental teaching management module, an equipment management module, a reagent consumable management module, an authority management module and a communicationmodule which are connected with the control center respectively, wherein the control center communicates with a network server through the communication module; and the experi mental learning management module comprises an experimental knowledge module, an online test module, an online examination module, an online question bank management module, a parameter setting module and a question bank module. According to the laboratory management system, comprehensive management of a laboratory is realized through an Internet technology and a computer technology, and advanced and reasonable flow management and paperless officering are adopted, thereby simplifying and standardizing the work of the laboratory, realizing intelligent control, greatly reducing the work of laboratory management personnel and increasing the management efficiency of the laboratory.

Embodiments of the present invention provide a dynamic expert system comprising a control database, a master rules database, an operations database, an initialization module, a dynamic knowledge module and an application of knowledge module. The control database comprises a plurality of available data structures. The master rules database comprises one or more of the available data structures populated with a plurality of rules. The initialization module causes one or more of the available data structures and corresponding rules to be copied, as a project / product database, to the operations module. The dynamic knowledge module provides for modifying the data structure, rules and / or operating parameters to be captured of the project / product database. The application of knowledge module provides for applying the modifiable project / product database to the project, product or the like.

The invention provides an enterprise tax risk control system and a method. The system comprises an enterprise finance and tax management system, a big data module and a cloud processing platform comprising a cloud business module, a cloud service module and a cloud knowledge module. The big data module classifies and stores all kinds of big data information provided by external big data providers.The enterprise finance and taxation management system obtains the data according to the specific data category according to the external control, and processes all the data obtained according to theexternal control and outputs the processing result. The cloud business module classifies and stores tax basic transaction data. The cloud service module sends the data of the big data module to the enterprise finance and taxation management system according to the demand. The cloud knowledge module stores resource pool data in categories. Enterprise users can manipulate the enterprise fiscal and tax management system on demand to obtain the analysis results considering the relevant tax data comprehensively, so this scheme can help enterprises to carry out tax risk management and monitoring, inorder to reduce enterprise tax risk.

The invention provides a garbage supervision method and system. The supervision method comprises: setting classification rule, performing classified putting, receiving feedback opinions, setting solution scheme, and adopting solution measures; the supervision system comprises: a environmental protection knowledge module, a propagandization module, a information reception module, a processing flow module, a staff recruiting module, a processing information publishing module; the environmental protection knowledge module and the propagandization module are used for propagandizing environmental protection, and popularizing garbage classification knowledge and the application method of dustbins; the information reception module is used for receiving waste and old raw material information corresponding to requests of garbage processing terminals such as cleaners, residents, various garbage transfer stations, plastic granulation factories, and the like; the processing flow module is used for instructing the transfer directions and transfer time of various garbage of various garbage transfer stations. The beneficial effects of the invention are that environmental protection knowledge is propagandized to raise environmental awareness amongst the general public; a platform for participating environmental protection actions is provided for the general public, and thus the environmental protection power is increased; the garbage recycle rate is increased, and environment pollution is reduced.

The invention relates to a learning resource constructing method and a learning resource constructing device. The method comprises the steps of determining a resource requirement type and a resource keyword according to personal information of a user; retrieving a database corresponding to the resource requirement type by use of the resource keyword, and establishing a learning course set, wherein the learning course set includes a plurality of learning courses; analyzing contents of the learning courses, and classifying the contents to determine a knowledge module topic word of each learning course; and organizing learning materials matched with the knowledge module topic word into a corresponding knowledge module, and adopting all knowledge modules as learning resources. The learning need of the user is precisely oriented according to the personal information of the user, knowledge resources are constructed according to the learning need of the user, thus the matching degree of the knowledge resources can be effectively improved; and the learning materials in accordance with the learning need of the user are constructed into a symmetrical knowledge module according to the teaching law and the internal logic of knowledge, the user can obtain comprehensive knowledge information, and the learning efficiency of the user is further improved.

The invention provides a violent video classification method and system integrating internal and external knowledge, a storage medium and computer equipment. The method comprises the steps of extracting features of an RGB mode, a motion mode and an audio mode of a multi-label violent video, and establishing multi-mode feature fusion network feature fusion; providing an internal knowledge module for self-adaptively learning multi-scale violent video features, so that richer and more key information can be learned; introducing an external knowledge module for improving the model from high-levelsemantics; constructing a violence-related violence knowledge graph, and proposing an optimization strategy for eliminating redundancy between different labels to obtain a violence correction matrix correction model; introducing a fusion score smoothing strategy to eliminate prediction errors, and building a violent video classification model integrating internal and external knowledge models. According to the violent video classification scheme designed by the invention, the effectiveness and stability of violent video classification are improved.

The invention discloses a green tide disaster early warning system based on an ecological model and an application method thereof. The green tide disaster early warning system comprises a green tide information database, a visual forecasting system and a sensitive area early warning system, wherein the green tide information database comprises an automatic inversion module and a manual input module, and mainly downloads and stores the position, time and cover area when a green tide happens initially; the visual forecasting system comprises a system management module, a typical ecological modelinformation module, an early warning module and a green tide ecological model knowledge module; and the sensitive area early warning system comprises a data graphic analyzer module and an early warning module, has the data analysis, drawing, sensitive area early warning hint and other functions, and can perfectly combine with the visual forecasting system. The green tide disaster early warning system based on the ecological model and the application method thereof has the beneficial effects that the operation is easy, satellite data can be automatically download to judge the occurrence of thegreen tide; the drift path and development process of the green tide can be forecasted according to green tide data in the green tide information database; and the pertinence is high, and the early warning can be carried out by aiming at a preset sensitive area.

A naked vision improvement training system for eyes comprises head-mounted eye vision recovery equipment by which lenses with different degrees can be replaced and the adjustment of the size of a helmet body is realized through a fastening rotary knob, the front shell of the helmet body is internally provided with a lithium accumulator, a bluetooth signal receiving and dispatching module and a data processing module, the front part of the front shell is provided with multiple light emitting diodes, two side ends of the helmet body are provided with an earphone and an ear strap type microphone,the application software of the training system comprises a login / registration module, a diagnostic module, an experience module, a training module, a consolidation module, an eye protection knowledge module, a personal center module and a background support module, and during training, a tablet personal computer is placed at a proper distance position in front of a student. According to the system, students can carry out vision recovery training in a mode of teaching through lively activities, parents or nurses are not required for cooperative training, the vision training enthusiasm of thestudents is improved, and a good training result is achieved accordingly. Based on the above description, the system has a good application prospect.

The invention relates to an internet financial management platform which comprises a platform server and a user terminal, and the user terminal is in communication connection with the platform serverthrough the internet. The platform server comprises a user registration module, a user financing module, a cash financing module, a bank deposit management module, a platform activity module, a platform advertisement module, a platform information module and a financing knowledge module. And a user registration link module, a user financing link module, a cash financing link module, a platform activity link module, a platform advertisement link module, a platform information link module and a financing knowledge link module are arranged in a platform interface of the user terminal. The invention also discloses an Internet financial financing method. The method comprises the steps of user registration, product query, investment financing, earnings obtaining and the like. According to the invention, all funds flow in a bank network system by adopting a scheme of appointed bank storage management, the own funds of the platform are completely isolated from the funds of the user, and the platform has the characteristic of transparent operation of the funds of the user.