40 results about "Formation rule" patented technology

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.

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 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.

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.

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 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 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.