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.

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 dynamic location-based group is formed that ensures required responders. A request for a new location-based group call relative to a defined location is received at a controller from an initiating device. The controller determines a plurality of required responder types for responding to the location and forms a group including subscriber units meeting one of a plurality of required responder types and a set of location-based group formation rules. The controller then determines if subscriber units in the formed group meet the required responder types. If not, the controller modifies the location-based group formation rules and re-forms the group including subscriber units meeting one of the plurality of required responder types and the modified location-based group formation rules. The controller then causes audio or data transmitted by the initiating device to be provided to the subscriber units in the re-formed group.

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.

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 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 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.