180 results about "Rule of inference" patented technology

Method and system for analyzing relationship between molecular structure and biological activity in one or more molecules by transforming molecular structure data into a hierarchical representation of chemical concepts and descriptors and detecting common tree-like patterns in the data.

A method for generating a workflow on a computer. Assessment data, e.g. defining a need, is obtained from a user. Based thereon, a workflow including a logical sequence of interdependent steps to be made is created using an assessment system. A number of workflow steps are presented to the user in a logical order, and results from the progress of one or more steps may be gathered. The workflow may be modified thereon, if needed, using sub-solutions, logic rules, inference rules and said results by adding and/or removing steps to/from said workflow based on a list of purposes and knowledge of the order in which some or all steps must be made. After modifying the workflow, the presentation thereof is started by the next or more unfinished steps which are not dependent on an unfinished step, thereby forming an adaptive procedure.

An automatic bookkeeping system comprises: a user interface, comprising a plurality of bookkeeping data editing interface allowing user to input, revise and delete useful bookkeeping data; a bookkeeping database, comprising a plurality of bookkeeping data files to record bookkeeping data; a chart and statement generating module provided with formats and definitions of a plurality of bookkeeping related chart and statement to automatically obtain needed data from said bookkeeping database and to generate bookkeeping related charts and statements using the obtained data according to format and definitions of particular chart or statement; a data file connection module to automatically connect a unit of input data to related bookkeeping data files according to features of said unit of input data to generate one or more unit of bookkeeping data; and an inference module, provided with a plurality of financial inference rules, to obtain data from said bookkeeping database and to operate according to particular inference rules using the obtained data. Charts and statements generated by the automatic bookkeeping system include: journal, ledger, income statement, balance sheet and other financial statements.

A method for computing similarity between paths includes extracting corpus statistics for triples from a corpus of text documents, each triple comprising a predicate and respective first and second arguments of the predicate. Documents in the corpus are clustered to form a set of clusters based on textual similarity and temporal similarity. An event-based path similarity is computed between first and second paths, the first path comprising a first predicate and first and second argument slots, the second path comprising a second predicate and first and second argument slots, the event-based path similarity being computed as a function of a corpus statistics-based similarity score which is a function of the corpus statistics for the extracted triples which are instances of the first and second paths, and a cluster-based similarity score which is a function of occurrences of the first and second predicates in the clusters.

The invention provides a prediction method and system of a litigation outcome. The method comprises the following steps: establishing a knowledge inference library of a predetermined subject, wherein the knowledge inference library is used for storing inference rules, and a plurality of inference steps of the inference rules; constructing a prediction model based on the knowledge inference library of the predetermined subject, wherein a neural network block of each prediction model is corresponding to one inference step, the inference data needed by each inference step is corresponding to one data type, and each data type is corresponding to an input type of the neural network block; processing a judgment document corresponding to the predetermined subject to obtain a training sample data set, training and modifying the prediction model; acquiring to-be-detected data, extracting a data pair with attribute and attribute value based on the predefined feature word library to form a to-be-detected data feature information set; judging a suitable subject of the to-be-detected data based on the to-be-detected data feature information set, and inputting into the prediction model to predict. The method and system provided by the invention can guide the people to predict the outcome of a law case and are strong in practicability.

The invention provides a method for preventing computer virus. The method includes the steps that: before an external file or data are needed to be transferred into an information system, reading the whole content of the file or data first; executing a machine code instruction analysis on the content of the file or data and reorganize the operation logic; executing a simulation run on the result of the machine code instruction analysis and the result of reorganization, and giving a result report generated by the simulation run; inferring and determining the result report generated by the simulation run using the knowledge of the virus knowledge base and the inference rule, and obtaining the result of whether the file has the probability of virus existence or not; according to the result of the probability of virus existence, automatically or manually control whether the external file or data are able to be transferred into the information system or not. The invention also provides a device for realizing the method, and the device comprises a machine code instruction analysis and operation logic reorganization device, a control device, a risk assessment device, and a virus knowledge base device. The invention can effectively prevent the broadcast of computer virus.

Systems and methods for creating a template from an existing file are provided. The user can package one or more file(s) into a group and specify that the group is to be converted into a template. An IDE process can automatically index the content of the group and create a metadata file to represent the indexed content. The IDE process may employ a set of standard inference rules to index the content. The indexed file group and metadata can serve as a template for creating new files with properties of the original file(s). Additionally, templates can be provided with a set of default properties when no specific template properties are specified by a user. Completed templates can be added to a User Interface (UI) accessible location, such as a collection of templates accessible to UI dialog processes for opening new files.

The invention discloses a multi-business-object-oriented distribution network warning information integrated rational analysis method, which comprises the following steps that: 1, distribution network warning information is classified and sorted on the basis of different business objects; 2, a warning rule is defined according to distribution network business object requirements; 3, an association rule is defined, and the association rule is the logic association among a plurality of pieces of warning information; 4, the warning information with the logic association is integrated into warning events according to the association rule, and an expert rational rule base is built; 5, a power distribution automation system main station collects all warning information of an operating distribution network, compares the expert rational rule base and obtains all warning events generated by all collected warning information; and 6, the warning events are further analyzed, and the reasons, the caused influence and the corresponding solutions of the generated warning events are obtained. The multi-business-object-oriented distribution network warning information integrated rational analysis method provided by the invention realizes the classification and the sorting on the distribution network information, and also realizes the auxiliary fault judgment and handling.

A standard based mapping of industry vertical models to legacy environments to suggest points of enterprise application integration. A representation of a first domain comprising industry model instance data is generated in a standard-based format from an enterprise industry model. A representation in the standard-based format of a second domain comprising legacy data is generated from the legacy environment. A set of inference rules is applied against the representation of enterprise industry model instance data and the representation of legacy data. One or more candidate legacy assets in the representation of legacy data capable of implementing an aspect of the enterprise industry model are identified. The identified one or candidate legacy assets for implementing the aspect of the enterprise industry model are then recommended to a user.

A system and associated method for automatically controlling a hospital equipment of in-patient care environment is performed by a module coupled to a classification database, an Inference Engine (IE), a Truth Maintenance System (TMS), and the hospital equipment. Upon admitting a patient, a patient record related to the patient is created and events for the patient are recorded. Based on inference rules of the IE, inferred event data is generated and subsequently control data to manipulate the hospital equipment is generated. Pursuant to new event affecting truth of the inferred event data, the inferred event data may be renewed and new control data based on the renewed inferred event data is created to ensure that the control data is based on the latest event related to the patient.

The invention discloses a transformer substation sequentialization control system with visualization and interactivity. The invention proposes that a ticket printing system which is easier to use is provided for sequential control in a way of establishing concrete operation tickets and template operation tickets, a general template ticket data model irrelevant to concrete equipment of a transformer substation is established according to the generality of a primary electric wiring model of the transformer substation, a mapping method from the template operation tickets to common operation tickets is provided, an inference rule in an intelligent ticket printing process is proposed, original manual confirmation is substituted by an intelligent video system access sequentialization control system and an intelligent video system can be in service and out of service, a synchronous switch-on mode is automatically calculated according to multiple factors, i.e. line side voltages, bus side voltages, frequencies, phase angles, and the like, the interactivity of the sequential control system by establishing the communication process of the sequentialization control system and scheduling interaction and proposing the processing mode during a fault and the content of the sequential control is improved by introducing secondary equipment and control operation relevant to protection to the sequentialization control system.

The invention provides a body-based food security event semantic retrieval system. Firstly, a food security field body which mainly relates to knowledge of food security event, problem food and intoxicating substances is established; automatic expansion of the food security body is realized based on an information extraction technology; inference rules are designed according to a semantic relationship among concepts of the food security bodies, so that the knowledge in the field of food security is reasoned; the semantic retrieval of the food security knowledge in a body base can be realized, concept information which has a semantic relationship with food security event keywords can be retrieved according to the food security event keywords input by users, detailed information of the food security event and the intoxicating substances can be checked, and if the users input problem food, the food security event information related with the problem food can be retrieved; and a body-based semantic inquiring expanding method is provided, so that the concepts which have a specific semantic relationship with user inquiry words can be expanded, and the recall ratio and precision ratio of the retrieval system can be improved.

The invention discloses a knowledge-based fault diagnosis method. The method comprises the following steps: establishing a typical fault case database; extracting fault feature information and selecting main data variables by adopting a signal processing technology and a main component analysis method; Learning the fault sample by using an improved neural network algorithm; the comprehensive representation of the diagnosis knowledge is realized by adopting a mode of combining a generation type rule and a framework; constructing a system fault propagation model through data analysis and the relationship among the devices in the system, and defining a system fault propagation path; and based on the obtained fault knowledge, constructing a knowledge graph, and giving an inference rule by utilizing a road algebra theory to realize fault positioning based on knowledge inference. Through an improved neural network algorithm and a knowledge reasoning theory, automatic acquisition of knowledgeand accurate positioning of faults are realized, the diagnosis precision is improved, and a basis is provided for fault diagnosis of an industrial control system.

The invention discloses an admission control method and an admission control system in a heterogeneous wireless network environment. The method comprises the following steps of: when an access request is received, collecting the multi-domain information of each network and acquiring a target quality of experience (QoE) vector of a user in the access request by using an admission control entity; performing granularity partition on the information of each attribute domain in the multi-domain information according to a predefined performance index to form information granularity vectors of each attribute domain; according to the target QoE vector of a user terminal and a predefined fuzzy membership function, establishing fuzzy membership grade vectors of resource grains in each attribute domain; based on fuzzy evaluation vectors and inference rules of the resource grains in each attribute domain, establishing mapping relationships between the fuzzy evaluation vectors of the resource grains in each attribute domain and a network comprehensive evaluation index so as to acquire a comprehensive evaluation vector; and according to comprehensive evaluation, selecting the network having the highest network grade of service as an access network. Through the method and the system, an effective admission control strategy is designed for the heterogeneous wireless network and the overall performance of the heterogeneous wireless network is improved.

The invention relates to a network user behavior individualization expression method defining influence factors of network user behavior into: operation content, operation type and operation weight. A semantic matrix is formed according to the types of user behavior and items in the semantic matrix represent the interested concepts of users and values in the semantic matrix represent the interested concepts of users and the relevance between concepts and the relevance degree; the user behavior semantic matrix can be updated and evolved according to the changing of user preference. The core of the invention is to form the semantic matrix from the point of user browse behavior and content analysis and to describe individualized characteristics of network user behavior on the basis of inference rules of matrix operation. The method can promptly and effectively express the individualized behavior of network users so as to lead a computer to master and carry out understanding process. The invention can provide technical solutions for realizing individualized searching and active push.

A method includes, at a customer premise equipment (CPE) device, accessing data descriptive of content available via a network coupled to a network interface of the CPE device. A plurality of rules are analyzed using a forward-inferencing rules engine to determine whether one or more of the rules are satisfied based on the data. The rules include at least one user defined rule and at least one automatically generated rule, where the at least one automatically generated rule is automatically generated based on user history information. The method includes selecting particular content of the content available via the network for presentation via a display device.

The invention discloses a comprehensive target identification method based on uncertain reasoning. Various reconnaissance equipment and methods are adopted for scouting a same target so as to obtain target information and accomplish multielement information association, and the information on properties and types sent by each information source is fused and calculated by DS (data set) evidences based on the uncertain reasoning principle, thereby obtaining the final property and type information of the target. With the method, firstly, the information utilization rate on the plurality of information sources is enhanced, and the advantages of different information reconnaissance methods are utilized sufficiently; secondly, by a type knowledge base, the relationships of administrative subordination among different level types are established so as to obtain a more specific target type; thirdly, by adopting a DS evidence theory fusing method, prior probability and conditional probability intensity are not needed, and the requirements on preconditions are looser; and fourthly, the comprehensive target identification method can run under different working modes, thereby enhancing the reliability on target identification.

An intelligent plant development library environment is presented. Contemplated environments comprise an EPC knowledge system capable of incorporating know-how of one or more construction firms in the form of assembly objects. Assembly objects represent construction components (e.g., bolts, cable trays, pipes, processing units, deliverables, etc.) that can be incorporated into a plant design. Assembly objects are stored in an assembly database and include available contexts considered relevant to the assembly objects. An inference engine is utilized to derive a specified context related to a plant design from one or more design tools. The inference engine applies rule sets to infer which assembly objects to instantiate as construction objects. The inference engine can further configure the design tools to incorporate the instantiated construction objects into a plant construction project model. Example rule sets include forward chaining rules, backward chaining rules, case-based reasoning rules, inductive reasoning rules, or abductive reasoning rules.

The invention discloses an application-oriented QoS (Quality of Service) MAC protocol in WSN (Wireless Sensor Network). Basic concepts can be acquired by labeling applications, nodes and QoS parameters to create task ontologies which include the applications, nodes and QoS ontologies. The MAC is separated into four phases which comprise matching tasks, requesting, dispatching and executing. Cluster heads are used for propagating the tasks to be completed. Data packages are classified into three priority levels by cluster nodes according to requirements for quality of service of the tasks to send task requirements. The task requirements are received by a combination of the cluster heads to select the nodes to complete the tasks, and transmission resources are allocated to the nodes according to the QoS status of the nodes. Therefore, a new CSMA/CA approach to identify the priority levels is provided, the transmission priority levels of nodes are controlled by different sizes of contention windows and arbitration interframe space, and a node back-off time selection method based on the residual energy of nodes is provided. Furthermore, separated MAC protocol processes of cluster heads and cluster nodes and the application process of semantic inference rules in MAC are provided.