40 results about "Formation rule" patented technology

A method of a rule-based operation can include the steps of dividing a design rule into at least one of three components including an application criteria, a rule condition, and an action. The method can further include the steps of expressing the design rule as a datafile or source code and binding the three components together to form a rule object at runtime.

A system and method of developing rules for text processing enable retrieval of instances of named entities in a predetermined semantic relation (such as the DATE and PLACE of an EVENT) by extracting patterns from text strings in which attested examples of named entities satisfying the semantic relation occur. The patterns are generalized to form rules which can be added to the existing rules of a syntactic parser and subsequently applied to text to find candidate instances of other named entities in the predetermined semantic relation.

The invention discloses an electromagnetic push-pull Braille touch screen which comprises contacts with the number being the multiple of 6. Each six contacts are arranged in three rows and two lines so as to form a Braille unit; all the Braille units are assembled to compose the Braille touch screen; each contact comprises a base frame, a return spring, a coil, a permanent magnet, an iron core and a coil lead; one end of the return spring is connected to the bottom of the permanent magnet, and the other end of the return spring is fixed on the base frame; the coil and the iron core compose an electromagnet which is fixed at the bottom of the base frame; the coil lead is connected with an external control circuit for supplying power for the coil; and the top of the permanent magnet is hemispherical. The touch screen utilizes the electricity-to-magnetism principle, the Ampere's rule and the phenomenon that magnets with the same poles reprehend each other, and realizes the rising and reset of the contact through the thrust and pull generated by the permanent magnet and the electromagnet. The touch screen is in line with the formation rule of Braille and the using habits of blind persons, is simple in structure principle and easy to realize, and can realize the fast generating and updating of the Braille through being externally controlled by a common chip.

A system and method of developing rules for text processing enable retrieval of instances of named entities in a predetermined semantic relation (such as the DATE and PLACE of an EVENT) by extracting patterns from text strings in which attested examples of named entities satisfying the semantic relation occur. The patterns are generalized to form rules which can be added to the existing rules of a syntactic parser and subsequently applied to text to find candidate instances of other named entities in the predetermined semantic relation.

The invention discloses a domain name structural feature-based hang horse web page detection method. In the method, an unknown hang horse web site is discovered by performing sample clustering on a small amount of known or suspicious hang horse web page uniform resource locators (URLs) which have been captured to obtain a formation rule, performing derivation through the formation rule, and finally validating the derived suspicious URLs, so that a better detection result can be obtained and the detection efficiency can be improved obviously in the situation of less investment; moreover, a large amount of clews and data can be obtained. In addition, a detection target range is optimized by the method, so that a target with high suspicious degree can be detected preferentially; therefore, the detection efficiency can be improved obviously. Furthermore, the method also can be combined with a conventional hang horse web page detection method, and can be preposed in application; therefore,the detection range is reduced for the conventional hang horse web page detection method; and better recall rate can still be maintained.

The traditional association rule problem is extended by allowing a weight to be associate with each item in a transaction to reflect interest / intensity of each item within the transaction. The weighted association rules from a set of tuple lists are discovered, where each tuple consists of an item and an associated weight and each tuple list consists multiple tuples. The weighted association rules (WARs) are generated where some subset of items forms the consequent part of the rule (i.e., right hand side of the rule) and some other (non-overlapped) subset of items from the antecedent part of the rule (i.e., left hand side of the rule). The range of the weight value of each item is specified in the said rule such that the number of tuples satisfying both the left hand side and right hand side of the rules exceeds a pre-specified support level (referred to as the support requirement) and the fraction of tuples satisfying the left hand side also satisfying the right hand side exceeds a pre-specified confidence level (referred to as the confidence requirement).

A system for annotating words of a data corpus based upon attributes, items, and actions with Identigens (IDNs) from a Descriptive Dictionary, pairing the word's or their IDNs based on logical forming rules (CETLO Rules); determining if a selected plurality of paired words or IDNs (CETs) are grammatically and syntactically correct by matching IDNs from each pair of words. Optionally, identifying and annotating the individual entities (Entigens) that words are identifying.

A distributed spatial data query optimization method in a grid computing environment is applicable to the grid computing environment and comprises the following steps: (1) analyzing user queries to form a spatial join operation diagram of two or more spatial data grid services; (2) generating an estimation cost matrix of a spatial join operation which possibly exist among the spatial data grid services according to the spatial join operation diagram; (3) adopting a progressive query optimization method to update the estimation cost matrix orderly, and selecting a more preferable spatial join operation according to a formation rule of a spatial join operation balance tree and the estimation cost matrix; and (4) for the better spatial join operation selected in the step (3), generating a better spatial join operation execution proposal according to an executable parallel strategy of a spatial join computing grid resource situation and spatial subdivision. The method can adapt to the characteristics of dynamic change of the grid computing environment and rich computing resources, and can generate a better query execution proposal based on the characteristics, thus improving the efficiency of executing the distributed spatial data query in the grid environment.

The invention provides a dependency syntax tree-based knowledge graph expansion method and system. The method comprises the steps of crawling a basic corpus set A and a knowledge extraction corpus setB; performing cleaning, sentence segmentation and word segmentation processing on corpora of the two corpus sets; performing syntax analysis on the corpora subjected to the word segmentation, and according to an analysis result, constructing a dependency syntax tree; combining the dependency syntax tree constructed based on the basic corpus set A with corresponding knowledge in a knowledge graphto generate dependency syntax tree rules, calculating score values, and adding the score values and the dependency syntax tree rules to a dependency syntax tree rule library G0; expanding the rule library G0 by the corpus set B subjected to syntax analysis to form a rule library G1; extracting knowledge in the corpus set B subjected to the syntax analysis by utilizing the rule library G1, and taking the knowledge with a highest score on matching of an attribute word subjected to knowledge extraction and an attribute word library as alternative knowledge; and adding the alterative knowledge notoccurring in the knowledge graph to the knowledge graph. The labor cost is reduced; and the knowledge in different fields can be added to the knowledge graph.

The invention provides an identification method and device for garbage barrages and computer equipment. The method comprises the steps of constructing rules on the basis of preset barrage information characteristics, and conducting characteristic extraction on barrage information to obtain first barrage information; conducting term segmentation on the first barrage information according to term formation rules in a user-defined term library of a live platform, and forming a term bag model; on the basis of preset mapping rules, converting the term bag model into a term vector, conducting term frequency-inverse document frequency (TF-IDF) weighting on terms in the term vector, and obtaining the TF-IDF weighted values of the terms; establishing a native Bayesian model, and on the basis of the TF-IDF weighted values of the terms, separately utilizing the native Bayesian model to calculate a first probability P1 that the barrage information is a garbage barrage and a second probability P2 that the barrage information is a normal barrage under the condition that all terms appear; judging whether or not the first probability P1 is greater than the second probability P2, and if yes, determining that the barrage information is the garbage barrage.

The embodiment of the application discloses a method for recommending user behavior data, a server and a computer-readable medium, which relate to the analysis and arrangement of user behavior data and the realization of intelligent recommendation of user behavior data. The method comprises the following steps of: reading the user behavior information and performing data cleaning on the user behavior information to generate user behavior data; Performing content recognition processing on the user behavior data to form a rule base, wherein the rule base is used for classifying and storing the user behavior data; extracting the recommendation data from the rule base according to the condition of the front-end recommendation system, and pushing the recommendation data to the front-end recommendation system. By the embodiment of the invention, when recommending the user behavior data, the real-time accurate recommendation can be realized, and the recommended user behavior data does not contain dirty data.

The invention provides a speech recognition method and system based on an end-to-end deep learning model. The method comprises a step of mapping simple or compound vowels with similar pronunciations to the same code and mapping initial consonants with similar pronunciations to the same code to form a rule mapping table, a step of performing data encoding on a corpus by using the rule mapping ruleand representing Chinese characters of the corpus by using codes in the rule mapping table, a step of training the encoded corpus by using a hybrid end-to-end model to obtain 'pinyin' and 'phoneme' acoustic models, wherein the hybrid end-to-end model comprises a 'pinyin' end-to-end model and a 'phoneme' end-to-end model, a step of encoding multiple words to be applied by using the rule mapping table to form a vocabulary library, a step of identifying speech by using the acoustic models, and a step of comparing codes outputted by the acoustic models and codes of vocabularies in the vocabulary library by using editing distances and finding a minimum editing distance, and a corresponding vocabulary is an identification result. According to the method, the recognition efficiency of the systemis improved.

The invention relates to the field of machine translation, in particular to a machine translation word order adjusting method. Translated word order adjusting rule templates are introduced to machine learning, source texts, standard translated texts and machine translated texts are compared according to the rule templates, translated word order adjusting rules are extracted from a training set, and the positions of current words and replacement words in 'Crossover' word pairs are exchanged according to the rules. According to the method, the order adjusting rules are extracted through template matching to form rule sequences, and the rule sequences are applied to adjust word order errors in the corresponding machine translated texts so as to make the word orders of the machine translated texts more natural and conform to syntactic structures and wording habits of target languages. In addition, the machine translation word order adjusting method can be applied to mutual translation of any two languages, can correct the word order problems of corresponding translation systems in a targeted mode, the automation degree is high, and the labor and time costs for later manual editing are remarkably reduced.

Embodiments of the invention provide a method and a device for determining route load sharing. The method comprises the following steps that network equipment identifies a plurality of routes with the same destination address and determines equivalent routes from the plurality of routes according to a preset equivalent route formation rule; and when the network equipment determines that the equivalent routes meet a preset load sharing formation rule, the network equipment determines that the equivalent routes form load sharing. The method only needs to configure the load sharing formation rule on the network equipment and does not need to modify attribute information of each route, so that the complexity of determining route load sharing is reduced.

The invention provides a rough set expansion personalized recommendation method based on the variable precision tolerance relation. By means of two object indistinguishability characteristic analysis which is more consistent with the statistical significance, a core set is acquired by means of the discernable matrix, and discernable matrix elements containing core attributes are emptied. A reduction set is initialized into the core set, corresponded reduction and union are performed to attributes appearing mostly of discernable matrix non-empty element with those of the reduction set, fresh reduction is acquired, the elements with the attributes in the discernable matrix are emptied, and extraction of the reduction set is implemented. Focusing on each reduction, a knowledge tree is established, pruning conditions are determined, special pruning can be performed according to the pruning conditions, calculation complexity is reduced, effective rules are acquired, a rule set is formed, and data excavation is implemented effectively. According to the condition attribute value of the result to be recommended, rule match is performed in the rule set, and personalized recommendation can be implemented.

The invention particularly relates to a data extraction tool on the basis of data modeling and data increment implementation. Application of the data extraction tool on the basis of the data modeling and the data increment implementation includes creating data structures; creating extraction rules and customizing extraction plans; carrying out scheduling management; analyzing assemblies and data formation rules used by data templates; generating explanation documents. The data extraction tool on the basis of the data modeling and the data increment implementation has the advantages that the data templates are classified and customized, reasonable extraction modes are selected according to the data volumes of source tables, accordingly, the execution efficiency of the data templates can be improved, the consistency of the data can be guaranteed regardless of incremental or full-volume modes, the inquiry efficiency can be optimized, and the timeliness of the business data can be guaranteed.

The invention discloses an initialization method and system of a rule base and a default strategy of a management platform. The method includes the following steps that based on an SSR mainframe, the centralized management platform of the system is safely reinforced; when an application program of the management platform starts and runs, whether there are the rule base and the default strategy in a detection database or not is detected; if no rule base exists in the database, whether an original knowledge base file with the XML format exists at a specific position of a disk or not is judged, and if yes, the original knowledge base file with the XML format is introduced into the database to form the rule base; if no default strategy exists, based on the introduced rule base, the default strategy is generated according to certain rules. Compared with the prior art, the initialization method and system of the rule base and a default strategy of the management platform can improve the update efficiency of a knowledge base and a strategy, an initialization script of the database can be better maintained, data of the rule base and the default strategy and data of an XML are thus homologous, and later maintenance work is facilitated.

The invention relates to a method and device for packaging and reuse of a page module and belongs to the technical field of off-line digital simulation of electric power systems. According to the invention, a source program document of the page module is generated through compilation; the source program document can be modified and simplified directly; the document is compiled to generate a corresponding binary object document; and the page module is packaged into a library element. During the whole course, the method and the device provided by the invention do not need to form and process header documents of the page module; code text formation rules do not need to be re-defined, and a construction interface of a library function, an initialization interface and a task calling interface for a running stage do not need to be re-compiled; and graphic symbols after packaging can be formed without analysis of page programs or topology wiring, so operations are simpler. Difficulty in programming and debugging is greatly reduced; and workloads for the packaging are reduced.

A five-element font input method belongs to area of Chinese character computer input. It names the 25 letter keys except N key with Chinese characters, the five single strokes ''-,|, pie, na, Z' and 25 different stroke combinations constructed with ''-,|, pie, na, Z'' are distributed in 25 Chinese character keys, small amount of harmonic character fonts are distributed on the Chinese character key based on definite rules, the subject contour of every Chinese character is drawed with 1 to 3 bit cells to form the formation rule of the Chinese characters. A large portion of obscure words whose rate of utilization is low are distincted by 'formation rule + N key', the phrase is matched with four codes. The Chinese character splitting technique is created firstly to input complicated characters and all obscure words; large mount of two-class brevity codes are set based on the original two-code characters to make a large portion of Chinese characters can be input with two codes.

The embodiment of the invention discloses a word segmentation method and device for ancient traditional Chinese medicine documents, and the method comprises the steps: carrying out the preprocessing of the ancient traditional Chinese medicine documents in the field of traditional Chinese medicine, and generating corpora for training a language model; training the corpus to generate a language model; carrying out unsupervised word segmentation on the ancient book literature by using the language model to generate a preliminary word segmentation result; summarizing the preliminary word segmentation result according to a word relation, fixed matching of sentence patterns and linguistic knowledge, and sorting out segmentation rules to form a rule file; according to rules in the rule file, correcting the preliminary word segmentation result for the first time, and generating a first correction result.

The invention discloses a novel construction algorithm used for a regular expression matching method. The algorithm comprises the following steps that: S1: through software, generating any regular expression based on a PCRE (Perl Compatible Regular Expressions) rule set; S2: analyzing the regular expression, and converting the regular expression into a regular expression tree structure; S3: continuously converting the regular expression parse tree form into a token list form; S4: traversing the regular expression of the token list form, processing each node in the token list by the basic formation rule of the algorithm for characters, and generating a finite state machine of the regular expression; and S5: through the finite state machine of the regular expression, generating a corresponding circuit structure, and realizing a regular expression compiler. By use of the algorithm, any regular expression in the rule can be converted. In addition, compared with a traditional conversion algorithm, the generated finite state machine reduces a great quantity of intermediate node states and simplifies a circuit structure so as to finally obtain a regular expression matching circuit suitable for an FPGA (Field Programmable Gate Array), and the algorithm exhibits certain innovation.

The invention relates to the technical field of array signal processing, and discloses a small-scale array direction finding method based on a bionic technology. The method comprises the steps that the number of array elements, the spacing of array elements and the array formation rule are set to acquire a basic array; a coupling unit is set to comprise multiple input signals, and the coupling unit is equivalent to a mechanical model, and then is converted into a circuit model to acquire a coupling circuit; the parameters of the coupling circuit are determined through simulation; the output signals of the array elements are input into the coupling circuit, and the amplitude difference of a number of signals of the basic array is amplified by the coupling circuit; the output signals of thearray elements are converted into digital signals by AD sampling after passing through a coupling structure, and the digital signals are uploaded to a processor; array signal processing is completed in the processor; and the target orientation is estimated. According to the invention, high-precision direction finding of a small-scale basic array is realized under the condition of high signal-to-noise ratio; the size of the basic array is greatly reduced; and the flexibility, maneuverability and concealability of installation and deployment of an array direction finding system are improved.

The invention relates to a method for synchronizing a transmitter memory area in a transmitter memory in a transmitter apparatus with a receiver memory area in a receiver memory in a receiver apparatus, and to a receiver apparatus. The transmitter memory area stores transmission data as transmission-data packets and the receiver memory area stores received data as received-data packets with associated error status data which respectively indicate an error status for the received-data packets. Before a reference identification is generated in the receiver apparatus, which, following transmission using a feedback message in the transmitter apparatus, is used for memory area synchronization, the error status data for a plurality of the received-data packets are checked in the receiver apparatus until a first received-data packet is ascertained for which the error status data indicate no error status. An identification which identifies the first received-data packet is used to ascertain an identification for the current reference received-data packet taking into account a predetermined formation rule for forming the identifications for the received-data packets, from which identification the reference identification for the current reference received-data packet is derived.

The invention relates to a method for synchronizing a transmitter memory area in a transmitter memory in a transmitter apparatus with a receiver memory area in a receiver memory in a receiver apparatus, and to a receiver apparatus. The transmitter memory area stores transmission data as transmission-data packets and the receiver memory area stores received data as received-data packets with associated error status data which respectively indicate an error status for the received-data packets. Before a reference identification is generated in the receiver apparatus, which, following transmission using a feedback message in the transmitter apparatus, is used for memory area synchronization, the error status data for a plurality of the received-data packets are checked in the receiver apparatus until a first received-data packet is ascertained for which the error status data indicate no error status. An identification which identifies the first received-data packet is used to ascertain an identification for the current reference received-data packet taking into account a predetermined formation rule for forming the identifications for the received-data packets, from which identification the reference identification for the current reference received-data packet is derived.

The invention discloses a method for preparing the complete morphology of an oxide film section. According to the method, by means of the characteristics that the brittleness of a metal material is increased at a low temperature, an oxide film sample is directly broken after the metal material is oxidized at a high temperature, and the section morphology of the oxide film on the fracture surface of the sample is observed. By means of the method, the problems that after the metal material is oxidized, the surface of the oxide film is ground and polished, the complete morphology of the oxide film is destroyed, and the complete morphology, growth direction and stratification condition of the oxide film cannot be observed are solved; the section of the broken oxide film is not subjected to other processes, and then the complete section morphology of the oxide film can be clearly displayed. The method has great significance in studying the growth mechanism and formation rule of the oxide film by showing the complete morphology of oxide film.

The invention discloses a method for manufacturing a mask layout minimum physical rule verification file. The method is implemented in a LINUX system and comprises the steps of manufacturing an EB generating calculation file according to a mask layout design document; utilizing an analyzer to finish analysis on layer operation, and obtaining layer and digital information in the layer operation; storing every line of layer operation information in the EB generating calculation file to a layer general table; analyzing every element of logic operation in the EB generating calculation file, and forming the rule verification file; outputting checking instructions and original layer detection information to the rule verification file, and if the rule verification file is still provided with original layer information, returning and executing the second step until the rule verification file is no longer provided with the original layer information; optimizing the rule verification file logic operation, and merging expression analysis. The mask layout minimum physical rule verification file can be generated automatically through the method, a workload of manufacturing the rule verification file can be saved, and encoding accuracy can be improved.

The invention relates to a planting method of kumquat. The planting method comprises the following steps: turning over orchard land, spraying a herbicide in a full range, digging planting pits with adepth of 60-80 centimeters, a diameter of 40-60 centimeters, and a pit distance of 1.8-2.2 meters, uniformly spreading quick lime in the pits, applying 3-5 kilograms of straw, 3-5 kilograms of chickenmanure, 4-6 kilograms of pig manure and 2-3 kilograms of a composite fertilizer into each pit, carrying out dressing with 30-35 kilograms of urea, 40-45 kilograms of a calcium magnesium phosphate fertilizer and 20-25 kilograms of potassium chloride per mu in a growing stage, and carrying out dressing with 17-20 kilograms of a phosphate fertilizer, 8-10 kilograms of a nitrogen fertilizer, 3-5 kilograms of urea, 55-60 kilograms of tung bran and 25-30 kilograms of lime per mu in a fruiting stage, wherein watering is needed and soil moisture is kept during each time of dressing. With the plantingmethod, the growth process of the kumquat is scientifically managed, the conditions required for the growth of the kumquat are reasonably provided, the fruiting formation rules of the kumquat are guaranteed, the fruit size is moderate, and the quality of the kumquat is improved.

The invention discloses a medical image forming device. The medical image forming device forms an output image according to at least one shot image and category information which are sent from a management device and are corresponding to symptoms of a patient, and comprises a picture storage part, a formation rule storage part, a reading part, an input display part, an acquisition requirement generating part, a communication part, a rule acquiring part, an output image forming part and an output execution part, wherein the picture storage part stores an output image acquisition confirming picture and an output mode selecting picture; the formation rule storage part stores an output image formation rule; the reading part reads a patient identification number; the input display part displays the output image acquisition confirming picture so as to be confirmed by a patient; once the output image is confirmed to be needed, the acquisition requirement generating part generates an acquisition requirement; the communication part sends the patient identification number and the acquisition requirement to the management device, and receives the sent shot image and the category information; the rule acquiring part acquires the corresponding output image formation rule according to the category information; the output image forming part forms the output image according to the output image formation rule; and the output execution part outputs the output image.