76 results about "Combining rules" patented technology

This invention deals with improving recommendation systems. The first embodiment combines rules and recommendations to create automated and intelligent business rules for recommendations. The second embodiment improves recommendations by combining the results of driver products and influencer products, where influencer products only influence the recommendations of the driver products. Influencer products can be related to a specific user. The third embodiment improves recommendations for new items by relating them to original items, such that the sales for the original item is used in the new item when calculating recommendations. The new items may replace the original item, or be a similar item and exist alongside the original item.

A method and apparatus for detecting abnormal regions in living tissue depicted in a digital radiograph includes identifying suspected abnormal regions depicted in the radiograph and then, for each identified suspected abnormal region, extracting multiple topographic layers of the region from the digital radiograph; determining features of the region in each of the layers; and applying inter-layer multivariate non-linear criteria to the features to determine whether the suspected abnormal region is to be classified as an abnormal region. The distribution of digital values in the digitized radiograph is modified and a probabalistic determination is made as to whether suspected abnormal regions are actually abnormal from multiple analyses. An image is processed using at least two partially correlated detection schemes to produce at least two corresponding result sets of potentially abnormal regions; and the results of the detection schemes are combined using logical "AND" or logical "OR" combining rules to detect abnormal regions in the radiograph.

The invention provides a robot failure diagnosis method achieved by multi-mode fusion inference. According to the method, results obtained from inference of various inference engines (such as inference engines based on rules, neural networks, the Bayesian network and evidence theories) are fused with the evidence theory method to obtain an inference result with higher credibility. The method mainly comprises the steps of determining an identification frame, converting the inference results of the various inference engines into elementary probability assignments, assigning a weight to each inference method, fusing the elementary probability assignments with the Dempster combination rule, and making decisions by means of gamble probability conversion. According to existing fusing inference methods, either a result obtained from last inference is used by next inference or different kinds of inference are adopted in different stages of a system, and therefore inference of the same information is only conducted with one inference method and the certainty can not be guaranteed. According to the robot failure diagnosis method achieved by multi-mode fusion inference, parallel inference is adopted, and the inference results obtained from the four inference methods are fused to improve the certainty of the inference result. The robot failure diagnosis method achieved by multi-mode fusion inference can be applied to failure diagnosis of multiple fields such as robots and can determine failures of a failure equipment system with a large number of uncertain factors.

A system and method for combining conclusions from multiple fault detection techniques to isolate likely faults in a turbine engine is provided. The system and method provide the ability to effectively deal with multiple concurrent faults in the engine. Additionally, the embodiments of the invention provide the ability to correctly characterize multiple conclusions generated from evidence having different levels of interdependence. In one embodiment, the conclusions based on device data with high dependency are aggregated using a high dependency aggregation rule, and the resulting high-dependency sets are then further aggregated using a weak dependency rule. Finally, any conclusions based on independent evidence can be aggregated using an independent combination rule. The resulting aggregation determines which fault(s) are most likely indicated by the plurality of conclusions, taken into account the dependency of the device data used to generate the conclusions.

The invention relates to an entity link system for a language lacking resources. The system adopts a method combining rules with statistics for carrying out word stem segmentation and part-of-speech tagging on Uygur language vocabularies; expanding entity referring items according to contexts of the entity referring items; aligning Chinese vocabularies with the Uygur language vocabularies by means of the bilingual alignment technology of machine translation, so as to expand the Uygur language via the abundant semantics of the Chinese and obtain candidate entities; sequencing the candidate entities by fusing entity context features, textual theme features and concept map features in a knowledge base, and linking the entity referring items to the sequenced target entities. The system provided by the invention is used for solving the entity link problem of the language lacking resources and creating a practical Uygur language entity link system. The system can achieve an entity link function of the Uygur language lacking language resources so as to satisfy the demand of intelligent information processing.

An object oriented rule-based system and method that combines rule-based technology and object-oriented programming in order to provide an efficient approach for adding decision-making and inferencing capabilities to different applications. The rule-based system can include a RETE match algorithm, which can be modified to support pure object-based variable pattern matching. The LHS of a rule base can be compiled into several condition patterns, which includes a transformer integer array in order to record object variables positions. A RETE node can propagate tokens smoothly by asserting the object variable based on inheritance type hierarchy and the rules can be fired when the conditions are satisfied. The object oriented rule system can be utilized to add or remove rules at run time.

The invention discloses a data processing system capable of combining and separating payment records. The data processing system capable of combining and separating the payment records comprises a payment application record input module, a combining rule defining module, a scanning and classifying module, a combining and executing module, an amount paid separating module and a payment pattern setting module, wherein the payment application record input module is used for inputting or calling a payment application record data table, elements which are the basis of combination of payment application records are set by the combining rule defining module, the payment application records are scanned by the scanning classifying module, all the elements with the same payment application history are classified into one class according to the basis of combination, the combining and executing module is used for combining the payment application records which are classified into one class and producing a new application record data table, the amount paid separating module is used for separating amount paid of the existing application records or total amount paid of the produced new application records into at least two parts and enabling the payment pattern setting module to respectively set payment patterns, and the payment pattern setting module is used for providing optional payment form for the paid amount. The data processing system capable of combining and separating the payment records has the advantages of being capable of combining and separating the payment applications according to expected standards, having a function of producing payment operating information and improving work efficiency.

In many environments, rules are trained on historical data to predict an outcome likely to be associated with new data. Described is a ruleset which predicts the probability of a particular outcome. Roughly described, an individual identifies a ruleset, where each of the rules has a plurality of conditions and also indicates a rule-level probability of a predetermined classification. The conditions indicate a relationship (e.g. ‘<’ or ‘!<’) between an input feature and a corresponding value. The rules are evaluated against input data to derive a certainty for each condition, and aggregated to a rule-level certainty. The rule probabilities are combined using the rule-level certainty values to derive a probability output for the ruleset, which can be used to provide a basis for decisions. In an embodiment, the per-condition certainty values are fuzzy values aggregated by fuzzy logic. A novel genetic algorithm can be used to derive the ruleset.

The invention discloses an access control method for a spatial database, which comprises the following steps of: (1) establishing connection and conversation between a user and a spatial database by authentication; (2) inputting access information into the spatial database by the user and analyzing the access information into a query analyzing tree by the spatial database; (3) retrieving an authorization policy according to the query analyzing tree; (4) rewriting the query analyzing tree according to the authorization policy; (5) optimizing the rewritten query analyzing tree; and (6) executing the optimized query analyzing tree and outputting an access result. The method of the invention can provide various authorization policies, support authorizations in different granularity and a positive and negative authorization policy and carry out mandated authorization of data by spreading options. According to the invention, the traditional policy judgment is combined with spatial retrieval into one step, a user query result is confirmed and corresponding information is returned in one-step query, redundancy removal is carried out on spatial predicates by utilizing a combining rule and a cutting rule and the performance of safe access of the spatial database is improved.

The present invention provides a data recording device that can restrain the low-pass component in data to be written onto a recording medium without causing a problem in decoding the data using likelihood information. This data recording device includes: a data bit string combining unit that combines, by predetermined combining rules, a plurality of predetermined parity bit strings one by one with a data bit string obtained prior to a change to the bit order in a bit order rearranging procedure, thereby generating a plurality of composite data bit strings; and a data bit string selecting unit that selects one encoded data bit string from a plurality of encoded data bit strings generated through encoding procedures including the bit order rearranging procedure carried out for each of the plurality of composite data bit strings. Based on the selected encoded data bit string, the data recording device performs a data write operation onto the recording medium.

The invention discloses an interposition method for an opaque predicate. The method comprises the steps that an expression in an original code branch statement is positioned; a first operator is utilized to segment the expression, and a segmented expression is generated; a perpetually-true chaotic opaque predicate is constructed; a second operator is utilized to segment the perpetually-true chaotic opaque predicate, and a segmented perpetually-true chaotic opaque predicate is generated; and the segmented expression and the segmented perpetually-true chaotic opaque predicate are combined according to predetermined combination rules, and an original code is interposed into the opaque predicate generated after combination to generate a mixed code. Obviously, according to the scheme, through the novel interposition and mixing method for combining the constructed perpetually-true opaque predicate with the original branch judgment statement in a program, the ability of resisting static analysis can be improved, and the security of code mixing is enhanced. The invention furthermore discloses an interposition device for the opaque predicate, and the interposition device also can achieve the technical effects.

One embodiment provides a method for developing a text analytics program for extracting at least one target concept including: utilizing at least one processor to execute computer code that performs the steps of: initiating a development tool that accepts user input to develop rules for extraction of features of the at least one target concept within a dataset comprising textual information; developing, using the rules for feature extraction, an evaluation dataset comprising at least one document annotated with the at least one target concept to be extracted by the text analytics program; creating, using the rules for feature extraction, a rule-based annotator to extract the at least one target concept; training, using the evaluation dataset, a machine-learning annotator to extract the at least one target concept within the dataset; combining the rule-based annotator and the machine learning annotator to form a combined annotator; evaluating, using the evaluation dataset, extraction performance of the combined annotator against a predetermined threshold; and publishing, when the extraction performance of the combined annotator exceeds the predetermined threshold, the combined annotator for use in an application that extracts the at least one target concept from a plurality of datasets.

The invention relates to an uncertain data provenance query processing method based on D-S evidence theory. The method comprises the following steps of: taking selection, projection and connection query operation related to an uncertain data table as a representative, acquiring elementary probability assignment of each input data item to a result data item from a provenance expression which describes SPJ query operation; based on an evidence combining rule in the D-S evidence theory, calculating the combined influence of the uncertainty of a plurality of input data items on the uncertainty of each result data item, and acquiring the probability assignment of each result data item; and performing standardization according to the probability assignment of each result data item, and calculating the belief value and the likelihood value of each result data item, so that the uncertainty of the result data item is determined, and if the uncertainty of the result data item accords with the result obtained on the basis of an input uncertain data-based probable world example, demonstration and evaluation can be performed on the basis of the pair of provenance query results.

A method of translation of a chart associated with a graphical modeling environment into an input/output-extended finite automata (I/O-EFA) model is provided. The method includes receiving a representation of the chart and processing the representation of the chart with a computing device by (a) representing atomic models for each individual state of the chart, (b) applying composition rules to interconnect the atomic models while preserving state execution and transition behaviors to obtain the I/O-EFA model.

A scalable predictive coder in which the current frame of data is predicted at the enhancement-layer by processing and combining the reconstructed signal at: (i) the current base-layer (or lower layers) frame; and (ii) the previous enhancement-layer frame. The combining rule takes into account the compressed prediction error of the base-layer, and the parameters used for its compression.

The invention discloses a rule configuration and analysis system and method. The rule configuration system comprises a calculation factor management unit used for configuring a calculation factor, a rule management unit used for configuring operators for the calculation factor to combine rules and corresponding rule instances, and a project management unit used for configuring corresponding project rules and setting the rule instance result for the rule instances corresponding to the configured rules. The rule analysis system based on the rule configuration system comprises a rule matching unit used for matching the corresponding rules for actual projects, the rules are configured by the project management unit, and an instance matching unit used for matching the corresponding rule instances according to the actually-acquired calculation factor and the matched rules to acquire the rule instance result, and the rules are configured by the rule management unit. The systems are advantaged in that separation of the business flow and rule decoupling is realized, and convenient rule configuration, lightweight expansion and flexible rule combination are realized.

The invention discloses a preset parsing method for a tourism vertical search engine. The method can analyze search words of a user, conduct semantic analysis, further combine rules after matching with a plurality of rule engines, and eventually convert the search words to query conditions that meet user's requirements. The method of the invention can conduct semantic parsing based on search word text, understand the intent of user's search words, map an original request to query conditions that are more suitable for user's requirements, and make query result more accurate. The flexible multi-rule engine application method of the invention facilitates developers self-defining more rule engine and optimizing search results. After a rule database is modified, the preset parsing automatically identifies modification content through timestamp, and the preset parsing service is dynamically updated, and the rule engine is updated through a newly opened memory space, so that the preset parsing service is not interrupted, which facilitates operations personnel rapidly adjusting search results based on key words without performing development and code issuing, thereby substantially increasing operation efficiency.

The invention discloses a method for realizing the combined field selection, comprising the following steps: the field selection combining rule is defined on the base of the metadata of the field selection of the data list; the field selection combining rule is stored; and when the data list is in operation, the field selection combining rule is analyzed to realize the combination of the field selection. The invention also discloses a device for realizing the combined field selection. The combining rule defining method and the common analysis to the combining rule ensure that a user can set the combining rule in a user-defined way, and the realization of the combined field selection does not need the target-oriented hard coding; and when the combined field selection needs to be modified or increased because the service request changes, the user or the server can rapidly complete the task, thereby greatly improving the expandability of the system.

The present invention provides a rule set partitioning based packet classification method for Internet. The method comprising: performing Horizontal Cut for the rule set, determining the field for partitioning a rule layer based on a target algorithm and selecting the partition manner of the Horizontal Cut, performing Horizontal Cut according to the selected partition manner of the Horizontal Cut, thereby obtaining more than one rule layers, each rule layer being a Horizontal subset, combining the rule layers to obtain a plurality of Horizontal subsets according to the total number of the pre-designated Horizontal subsets and a predefined principle, wherein the total number of said combined plurality of Horizontal subsets equals to the total number of said pre-designated Horizontal subsets; performing Vertical Cut in each of the Horizontal subsets; then forming a Hash table that can index the Vertical subsets, so that it can be used in a lookup; and realizing rule storage in each Vertical subset respectively according to the target algorithm.

The invention discloses a log statistics and analysis system based on a log generality rule engine. According to logs from different sources, characteristic fields can be processed according to pre-processed structured data, and statistical rules, instruction rules and filtering rules required by users can be flexibly configured. Statistical Rules are Single Independent, Combinatorial rule sets are widely used in instruction rules, the combined rule set can process the log data from different sources, and distribute the statistical rules and instructions to different processes or threads through the rule load balancing module. The load balancing supports horizontal expansion, ensures the log data processing capacity, and greatly improves the stability and log processing performance.

The invention discloses a rule optimization method and device in a cloud environment. The optimization method includes: step 1, the user sets rules in the cloud environment, and the rules include a condition part and an action part; step 2, collects the rules set by the user and generates a rule set; step 3, merges rules based on the same data table. The present invention realizes a massive rule optimization scheme in a cloud environment including cloud user setting rules, massive rule generation, rule merging based on the same data table, optimization based on rule condition equivalent merging and optimization based on rule module equivalent replacement , which realizes the optimization of massive rules in the cloud environment, so as to provide better services for users.

The invention discloses a system and a method for identifying targets by airborne multiple sensors. The system is characterized by comprising an evidence conflict judgment and conflict reduction module, an evidence correction module based on discount factors, and a fusion module of corrected evidence. The identifying method comprises the following steps of calculating the similarity coefficient of every two airborne evidences, judging the conflicts, constructing the reference evidences, obtaining the updated airborne evidence list, measuring the reliability coefficient of the airborne evidences, measuring the uncertainty coefficient of the airborne evidences, constructing the discount factors of the airborne evidences, calculating the discounts, and calculating the fusion of Dempster combining rules. The system and the method have the advantage that the effective information in the airborne multi-sensor data can be fully mined and remained, so the problem of target identification when the high-conflict information exists in the airborne multiple sensors is solved, and the target identification efficiency of the unmanned vehicle multiple sensors is improved.

The invention discloses an extraction method of case information in a webpage. A case attribute knowledge base is built; the knowledge base comprises a case information type special noun set, a qualifier set, a forbidden word set and a case body special modifier set; word segmentation is carried out to a text; an article is segmented into a plurality of whole sentences; corresponding rules are translated in combination with the word sets in the knowledge base; when learning that the words in the word sets corresponding to the rules appear through scanning, the sentence patterns of the words satisfy a certain rule, and there is no forbidden word in the sentence, it is indicated that the sentence satisfies the rule; and the related fields of a court are extracted according to the field positions restricted in the rule. According to the method of the invention, the targeted case information is extracted through a method of combining rules and word count sets; and the case extracted by the method has relatively high accuracy.