210 results about "Sequence rule" patented technology

The present invention provides a method and a parser for syntactically analyzing an input string. The parser applies a plurality of rules which describe syntactic properties of the language of the input strings. The plurality of rules comprise two types of rules. A first type of rules comprises immediate dominance rules and linear precedence rules. A second type of rules being sequence rules. All rules of the plurality of rules are applied according to a predefined order to the input string. This new incremental parsing architecture has advantages with respect to grammar engineering and allows a more efficient parsing.

The subject matter described herein includes methods, systems, and computer readable media for adaptive packet filtering. One method includes identifying at least one subset of rules and an ordered set of firewall packet filtering rules that defines a firewall policy such that the subset contains disjoint rules. Disjoint rules are defined as rules whose order can be changed without changing integrity of the firewall policy. Rules in the subset are sorted to statistically decrease the number of comparisons that will be applied to each packet that a firewall encounters. Packets are filtered at the firewall using the sorted rules in the subset by comparing each packet to each of the sorted rules in the subset until the packet is allowed or denied and ceasing the comparing for the packet in response to the packet being allowed or denied and thereby achieving sub-linear searching for packets filtered using the sorted rules in the subset.

The invention provides a text information associating and clustering collecting processing method based on a domain knowledge model. The method comprises the following steps that a text information training set is searched, stemming preprocessing is conducted, and feature word vectors of a text participle sequence of the information training set are extracted through Chinese named entity identification and domain dictionary query modes; representative feature words of a target event are extracted through topic graph model learning training, and a weighted value of topic associating affiliation is calculated; a feature word set is built according to the topic associating affiliation weighted value, calculated through training, of the feature words, and an event topic word template is built; feature word vectors of a participle sequence accessed to text in real time are extracted through the Chinese named entity identification and domain dictionary query modes; the similarity distance of the feature word vectors and all the target event knowledge templates is calculated; the association relationship of multiple texts to the same topic target event is determined according to the similarity threshold, and classification reorganization is conducted by means of a similarity distance ordering rule.

The invention discloses a method for path planning based on an improved ant colony algorithm. Compared with the classical ant colony algorithm, the method has the following improvements: (1) a constant pheromone evaporation coefficient is adjusted to be an adaptive pheromone evaporation coefficient, and the size of the coefficient is changed adaptively along with increase in number of iterations of an ant colony method; a local optimum path is preferentially selected by adopting a rule that the number of inflection points is small on the basis that different paths are identical in length; (3) a path simplifying rule is adopted for the local optimum path, whether each passing node in the path and the starting node are neighboring nodes or not is judged, and redundant nodes on the path are eliminated; and (4) a pre-sorting rule is adopted when pheromone updating is performed on the path passing by an ant colony before, and only the top 1/3 of paths in path length sorting are updated. According to the above improvements, the method can effectively reduce the algorithm convergence time of the ant colony algorithm and improve the operating efficiency.

The invention provides a searching and sorting method and device based on a click rate. The problems that when a sorting rule is used for sorting searching results, the reusability is low and the method is cumbersome are solved. The method comprises the steps that before searching and sorting, the click data of a user within preset time are acquired, and the weight of each feature is determined according to the click data; the searching and sorting comprise the following steps that search terms and search targets matched with the search terms are acquired, and the features of the search terms and the features of the search targets are extracted respectively; for all search targets, the click rate of the search targets is forecasted by using a regression model according to the features of the search terms, the features of the search targets and the corresponding weights of the features; according to the click rate, the search targets are sorted and displayed to the users. The searching and sorting method and device based on the click rate are suitable for various application scenarios, and high in reusability. Moreover, the weights can be adjusted accurately in real time according to the click data of the user, and reconfiguration is of no need.

One embodiment of the present invention provides a system to facilitate software management by applying network address-sorting rules on a hierarchical directory structure. The system operates by creating a hierarchical directory structure that reflects the logical coupling among computers within an enterprise. This hierarchical directory structure is sorted based on network addresses of the constituent computers of the enterprise. The system establishes a software policy at the root level of the hierarchical directory structure. Individual computers within the enterprise inherit the software policy from the root level of the hierarchical directory structure.

A system and method for speech recognition includes a speaker-independent set of stored word representations derived from speech of many users deemed to be typical speakers and for use by all users, and may further include speaker-dependent sets of stored word representations specific to each user. The speaker-dependent sets may be used to store custom commands, so that a user may replace default commands to customize and simplify use of the system. Utterances from a user which match stored words in either set according to the ordering rules are reported as words.

The present invention provides a technique for ordering responses received over a split transaction bus, such as a HyperTransport bus (HPT). When multiple non-posted requests are sequentially issued over the split transaction bus, control logic is used to assign each request an identifying (ID) number, e.g. up to a maximum number of outstanding requests. Similarly, each response received over the split transaction bus is assigned the same ID number as its corresponding request. Accordingly, a “response memory” comprises a unique memory block for every possible ID number, and the control logic directs a received response to its corresponding memory block. The responses are extracted from blocks of response memory in accordance with a predetermined set of ordering rules. For example, the responses may be accessed in the same order the corresponding non-posted requests were issued.

Statements having non-commutative connection conditions are optimized by replacing the non-commutative connection conditions with equivalent expressions that allow for consideration of additional connection orders that would otherwise violate the ordering rules of the non-commutative connection condition. Elements on the right-hand side of a non-commutative connection condition are converted into distinct results elements, thereby allowing the elements to be used on the left-hand side of a commutative connection operator, while preserving accuracy of the statement results set. This increased set of connection orders is evaluated and the execution plan for the optimal connection order is selected.

A system and method for providing a real-time content distribution network. The system includes a player device at a host location. The player device includes a network interface for communicating with a content provider server device via a network, one or more speakers, and a computer processor in communication with the network interface and the one or more speakers. The computer processor includes instructions for facilitating receiving a playlist from the content provider server device in response to a request from the player device for an updated playlist. The instructions further facilitate accessing the audio media files specified by the playlist. In addition a play queue including all or a subset of the audio content included in the audio media files is built, with the building being responsive to local play sequence rules and to the attributes. Further, the audio content of the play queue is broadcast at the speakers.

The invention discloses a construction method and device of a fine-grained emotion analysis model and a readable storage medium. According to the method, class sequence rules are utilized to extract attribute words and emotion words in a process of fine-grained sentiment analysis, thus accuracy of attribute word and emotion word extraction is improved, the mined class sequence rules are enabled tochange with changes of text which is of the applied field and to be used for training, generalization ability of the constructed fine-grained emotion analysis model is improved, and the constructed fine-grained emotion analysis model is enabled to have good scalability; and the problem of long-distance dependence between emotion words and attribute words is solved through the class sequence rules, that is, the problem of long-distance dependence between evaluation objects and evaluation words is solved, emotion context information related to the attribute words is extracted through a neural network of an attention mechanism, and fine-grained emotion analysis is realized.

The invention relates to a cell-machine based dynamic scheduling method for a large part flexible job shop, which comprises the steps of: 1) establishing a gridding model of a cell machine; 2) describing the cell state; 3) defining initial and entrance boundary conditions of a whole model system as beats of particles entering the system, wherein the exit boundary condition is reception capacity of a downriver factory of a supply chain on products; 4) determining the self-organized evolution rule of the model; and 5) for the work station selecting rule R[p--c], taking completion of the jth step as the start point and completion of the (j+1)th step as the finish point, taking the period (wq+w1/pe) as a measuring standard, selecting the work station with minimum (wq+w1/pe) as the processing work station of the (j+1)th step, wherein the work sequencing rule R[c--p] is determined according to a ''first come first serviced'' rule with the combination of workpiece processing priority. According to the cell-machine based dynamic scheduling method for the large part flexible job shop, the operating efficiency is improved and the stability of the device is enhanced.

The invention relates to an automatic registering and fused splicing method of multiple images. The unordered images are enhanced in a multi-dimension Retinex method; the images match each other by utilizing a logarithm polar coordinate transformation improved phase correlation algorithm, zooming, rotation and translation parameters are calculated, an overlapped area among the images is estimated roughly, and an ordering rule is formulated according to energy peak values of an impulse function; an SUFR algorithm is used to extract characteristic points from the overlapped area to be registered, a random sampling consistent algorithm is improved to purify matching point pairs accurately, model parameters are optimized, a transformation matrix among the images is established, and sequential images are spliced successively; and an NSCT algorithm is utilized, a fusion strategy is made to further fuse spliced images, and a spliced image after fusion is output. The method of the invention can be used to reduce influence of difficult manual ordering, fuzzy image details, low resolution, high noise, nonuniform illumination and the like on image registration and splicing, provides help for reducing cost of imaging equipment and accurate diagnosis of medical staff, and has good application prospects in the medical image assisted field.

The invention discloses a method for checking the integrity of object transmitted message, a relative device and a system, wherein the method comprises that A, a receiver receives an object transmitted message, and a plurality of discrete groups transmitted safely, according to the discrete values, obtaining check information, the receiver uses preset sequence rule generates a plurality of sequences via received the object message, and obtaining a plurality of discrete values according to discrete calculation method on the sequences, to obtain check information, B, the receiver judges if the two check information are same, when they are same, the received message is not modified, or else, the message is changed. The invention can protect the transmission integrity of object message, resolve compatibility and cost problems, and improve safety.

The invention discloses a detection method for abnormal behaviors based on a user access sequence. The detection method comprises the following steps: 1) capturing data from a local network, preprocessing the data, and performing serializing treatment on the acquired data; 2) storing a sequence formed in the step 1 into a sequence database, and generating a behavior sequence of each user on the basis of time; and 3) calculating the behavior similarity and the correlation coefficient between users according to the behavior sequence of each user, comparing the correlation coefficient for detecting the abnormal behaviors, and searching for the abnormal behaviors of the user. According to the method, on the basis of sequence pattern excavation, factors, such as, time and user behavior characteristics, are fully considered, an improved more accurate user behavior similarity algorithm is utilized to calculate, and the sequence rule of the user access is effectively extracted, so that an analysis result is more accurate and the defects of other analysis methods are overcome. Besides, on the basis of the user behavior similarity algorithm, the method has obvious advantages in noise interference, the used resources are few, and the running efficiency is high.

The invention relates to an inertial space gyro calibration test method based on a three-shaft turntable; while a gyro assembly attitude rotation is provided by the three-shaft turntable, the compensation dosage of the earth autorotation angular velocity is calculated according to the real-time rotating angle output of three rotating shafts of the three-shaft turntable, so that the influence of earth autorotation on the gyro measurement output is eliminated, and the inertial space constant angular velocity required for a gyro calibration algorithm is ensured. At the same time, based on attached rotation characteristics of the three rotation shafts of the three-shaft turntable, the method defines a rotation sequence rule of the three rotation shafts and a three-shaft turntable body coordinate system and a reference inertial coordinate system having the initial zero coinciding with the ground horizontal coordinate system, and provides a reference benchmark for determining the inertial system angle increment according to the gyro output and for determining the inertial system attitude according to the rotation angle output of the three rotation shafts of the three-shaft turntable. The method can significantly improve the precision of a ground gyro calibration test, can guarantee the ground to perform effective calibration and test result calibration on a gyro assembly, can establish a good foundation for performing relevant calibration tests of satellites in orbit, and improves the determination precision of the gyro attitude.

The invention provides an ordering method, an apparatus and a terminal. The method comprises that when data state parameters of main data in a database are updated, based on the updated data state parameters of main data, the ordering apparatus obtains an ordering list corresponding to the updated data state parameters; the ordering list comprises an identification information set after ordering based on a preset ordering rule; based on every identification information in the identification information set, the data state parameters corresponding to every identification information are obtained; based on the updated data state parameters and the data state parameters corresponding to every identification information, the ordering list is updated. According to the ordering method, the apparatus and the terminal provided by the invention, a long time consumption problem when TOP N data is obtained in the prior art can be overcome.

The invention discloses a picture processing method, which comprises the following steps of obtaining a picture processing request; obtaining at least two corresponding to-be-processed pictures and shooting spot information corresponding to the pictures according to the picture processing request; obtaining the spot sequencing rule of the pictures; sequencing the to-be-processed pictures according to the shooting spot information corresponding to the pictures and the spot sequencing rule of the pictures; splicing all the sequenced to-be-processed pictures to generate a new picture. The invention also discloses a picture processing device. According to the picture processing method and the picture processing device, by obtaining the shooting spot information of the to-be-spliced pictures, and splicing the pictures after the to-be-spliced pictures are sequenced according to the spot sequencing rule, the technical problem that the pictures can be spliced only after being manually arranged in the prior art is solved; not only is the operation of a user facilitated, but also the intelligent sequencing of the to-be-spliced pictures is realized.

The invention discloses a simple spelling method of Chinese input method, which comprises the following steps after dividing syllable of the input phonetic bunches: A1, finding the same joint with every syllable initial of the phonetic bunch in the phonetic dictionary; A2, looking up the general phonetic bunch which matches every syllable of the phonetic bunch up and down at the centre of the joint in the phonetic dictionary; A3, arranging candidate word of the matched general phonetic bunch from big to small according to the word frequency. The invention also discloses a simple spelling system of Chinese input method. The invention reduces the occupied internal memory space, which improves the speed of simple spelling expansion.

The invention discloses a dynamic wireless resource distribution algorithm based on load balancing. The algorithm comprises a bottom layer network resource updating mechanism, virtual network requestranking rules and a resource distributing mechanism. The algorithm is characterized in that according to the bottom layer network resource updating mechanism, in a time window, priority processing isperformed on departure of a virtual network request, bottom layer network resources occupied by the request are released, and then the corresponding bottom layer network resources are occupied when the virtual network mapping is successful; the algorithm has the advantages of being high in service isomerism and large in QoS request difference, by considering multiple service quality factors, a reasonable QoS mechanism and a service priority mechanism are built, a disturbance problem of a wireless network and the load balance strategy of dynamic resource distribution are considered, dynamic distribution for matched electric communication network wireless virtual resource can be achieved, bottom layer physical network resources can be distributed to multiple isolated virtual networks bearingdifferent services according to the real-time service requirement, and the network operation benefit is improved.

The invention relates to a method and a device for displaying webpage information. The method comprises the following steps of enabling a server to obtain a user logging request sent by a client end, wherein the user logging request carries a user identification marker; enabling the server to obtain tag selection historical information corresponding to the identification marker according to the user identification marker; enabling the server to sequence tags according to the tag selection historical information and a preset sequencing rule, and forming a tag display sequence; enabling the server to send tag rendering information to the client end according to the tag display sequence, so as to enable the client end to render the tag son a display interface according to the tag rendering information. The method has the advantages that the content in which a user is interested is directly displayed to the user, the interaction cost of the user is reduced, and the feel of the user is improved.

The embodiment of the invention discloses a data sorting method, data sorting device, electronic equipment and a readable storage medium. The method comprises the following steps that: according to auser search request, obtaining a plurality of search results; according to a first sorting rule, sorting the plurality of search results to obtain first sorting results; and according to a second sorting rule, determining a target result which meets a preset condition from the first sorting results, and regulating the sorting of the target result to obtain a second sorting result. Therefore, the second sorting result can embody sorting requirements determined by the user search request, in addition, the target result which meets the preset condition can be displayed in the second sorting result, so that sorting result diversity is effectively improved, and different aspects of requirements of the user can be more favorably met.

The invention relates to culturally sensitive sorting of records. The invention provides a method and a computer system for sorting a set of keyed records based on a preferred locale specification having collation information of a culture. The method is performed on a computer system operatively coupled to a computer readable memory storing the set of keyed records. The steps include reading a locale token associated with the set of records, the locale token identifying a preferred locale object having collation information, using the preferred locale object to locate and read the collation information, creating a culturally correct collation key for each data key associated with the each record, and using the created culturally correct collation keys to sort the set of records into a culturally correct sorted order.

The present invention discloses an inserting-ordering method, which is used to insert keywords of the data to be inserted into the queue list according to the ordering rule of the keywords of node data in the queue list. The present invention comprises the following steps of comparing the keywords of each node data in specified queue list with that of data to be inserted, conducting shifting operation for the node data in specified queue list according to the comparing results, and inserting the data to be inserted into the specified queue list while conducting shifting operation. The adoption of the present invention completes comparing, shifting and inserting operation in a clock period and cancels reverse shifting logic, which ensures that the sequencer adopting the inserting-ordering method can realize linear operation, simplifies the design of sequencer and expands the application of the sequencer.