128 results about "Transfer rule" patented technology

In order to achieve improvement of the accuracy and speed of a conversion of source language elements to target language elements a machine translation system is provided with context and linguistic processing comprising a dictionary storage 100, linguistic analysis storage 114, transfer rule storage 116 and a context storage 130, wherein selecting means 118 determines an order of selection among transfer rules to be executed to obtain target language elements from linguistic processing and target language elements from context processing. The correlation between language elements and context elements is obtained using a neural network.

A structural natural language index is created by segmenting documents within a repository into text portions and extracting named entity, co-reference, lexical entries, structural-semantic relationships, speaker attribution and meronymic derived features. A constituent structure is determined that contains the constituent elements and ordering information sufficient to reconstruct the text portion. A functional structure of the text portions is determined. A set of characterizing predicative triples are formed from the functional structure by applying linearization transfer rules. The constituent structure, the characterizing predicative triples and the derived features are combined to form a canonical form of the text portion. Each canonical form is added to the structural natural language index. A retrieved question is classified to determine question type and a corresponding canonical form for the question is generated. The entries in the structural natural language index are searched for entries matching the canonical form of the question and relevant to the question type. The characterizing predicative triples are used in conjunction with a generation grammar to create an answer. If the generation fails, some or all of the constituent structure of the matching entry is returned as the answer.

When a portion of an input speech sentence contains an untrained portion or when speech recognition is partly erroneously performed, transference to the target language is disabled. Moreover, a phrase dictionary and interphrase rules which are necessary for transference must be manually produced. Therefore, development is low in efficiency and requires much labor. An apparatus includes: a language rule producing section which statistically automatically trains grammatical or semantic restriction rules for a partial word or a word string from a parallel-translation corpus, and in which rules are described in the form wherein a source language partial sentence corresponds to a target language partial sentence; a speech recognizing section which performs speech recognition on speech of the source language by using the produced language rules, and which outputs a result of the recognition; and a language transferring section which transfers a source language sentence into a target language sentence by using the same language rules. Even when a portion of an input speech sentence contains an untrained portion or when speech recognition is partly erroneously performed, transference to the target language is surely enabled. Moreover, a phrase dictionary and interphrase rules which are necessary for transference can be automatically produced without requiring much manual assistance.

The invention provides a method, device and system for transferring digital assets in block chains. The method comprises the following steps: writing data involved in to-be-transferred digital assets in a state machine; generating asset issuing transaction according to the state machine and the digital assets; and broadcasting the asset issuing transaction in the block chains. By adoption of the method, device and system provided by the embodiment of the invention, when the digital assets are issued, the state transfer rule in a flow process is regulated, is recorded in the asset issuing transaction in the form of the state machine and is checked in the form of a consensus mechanism in a subsequent asset ownership transfer process, thereby ensuring that the assets generate state changes according to the rules regulated during the issuing and preventing the intermediary of asset transaction from randomly changing the states of the assets, and thus the accuracy and the integrity of the asset information recorded in the block chains in the flow process of the digital assets are guaranteed.

The invention discloses a multidimensional collaborative power grid planning method which includes the processes: acquiring geographic environmental information data and calculating comprehensive construction cost data by a rasterized map; building a power grid planning model; and calculating the solution of a power grid planning scheme by an optimal ant colony algorithm according to the acquired data and the power grid planning model. The method includes the steps: comprehensively considering substation locating and sizing, line selection and line corridor selection; and building a multidimensional collaborative power grid planning model considering complicated environmental influence. The multidimensional collaborative power grid planning method can accurately consider the influence of environmental factors on power grid planning. Line construction cost calculation precision is improved, and estimation difficulty is reduced. Catalytic elements are generated according to deviation of the local movement direction and the target movement direction of ants, so that the state transition rule of the ants is improved. The construction cost of lines on a mass raster and a substation is full-automatically and rapidly calculated, and calculation precision and efficiency are remarkably improved.

This invention provides a virtual call central system including: a virtual call central service module used in accessing users and connecting phone calls fed back by a queue service module according to a transfer rule and carrying out self-help service to position personnel, a queue service module used in maintaining state of registered phones corresponding to the positions to realize queue of users and feed back the result to the virtual call center service module, a self-door and background management module used in managing the virtual call center system and a database used in recording service information and providing registration number information of initialized positions to the queue service module. This invention also provides a virtual call method.

The invention relates to a dynamic prediction method of landuse change. The basic idea of GeoCA-Landuse model simulating landuse change can introduce the life character of the land element and simulate the dynamic evolvement of the type of the landuse. Beginning with the superimposition analysis and the transfer analysis of the two phase landuse thematic map, combining with the measurement model of landuse change, analyzing the the landuse change character. According to the model controlling factors of river system and road map analysis, constructing the layer of the controlling factors, determining the reasonable neighbors and transfer rules in light of the historical land-use change process, with the combination of adjusting the model parameters of the social economic data. Setting a powerful spatial data processing of GIS, the land use trend is simulated and predicted. The invention can simulate the dynamic trend of the landuse change and provide a scientific basis for decision-making.

An intermediate device which can be introduced and removed in seamless way is disclosed. The state information acquiring means acquires state information required to maintain the state of a session established between the first information processing device and the second information processing device for the information processing service, from the first information processing device or the second information processing device. The intermediate service managing means generates, based on the state information, transfer rules for applying the intermediate service to data of the information processing service, and transferring the data to which the intermediate service is applied. The transfer control means maintains the state of the existing session between itself and the second information processing device, establishes a new session between itself and the first information processing device, and transfers the data using the existing session and the new session, according to the transfer rules.

The invention discloses a method of automatic transfer among different interface messages, which includes the following steps : a. a source message is selected and a corresponding message transfer rule is configured according to a command code and the direction of the source message; b. when in the transfer of the message, the message transfer rule is searched according to the command code ant the direction of the source message and the source message is transferred to a target message according to the searched message transfer rule; c. whether the transfer of all source messages are completed is judged, if so, a message transfer process is finished; otherwise, step b is executed. The invention also discloses a device of automatic transfer among different interface messages, which comprises a memory module, a message transfer rule module, a structure transfer module, and a message field transferring and processing module. The method and the device of the invention can automatically transfer messages among different interfaces in bulk so as to reduce the workload of test case design and improve the test efficiency.

Disclosed is a method and system for controlling allocation and transfer of funds among multiple recipients. The method includes receiving registration information from a user, storing the registration information, assigning to the user a primary account, and multiple sub-accounts linked to the primary account in a waterfall hierarchy, receiving recipient account information to be linked to the sub-accounts, receiving a set of selectively repeating predefined rules corresponding to the sub-accounts. The rules include a funds allocation rule for allocating a portion of funds deposited in the primary account into the sub-accounts, and determining if allocated funds in the sub-accounts has hit the allocated target, a payment transfer rule for transferring the allocated target funds in the sub-accounts to the recipient account, and an authentication verification rule for verifying authentication of the user for updating the rules corresponding to the sub-accounts.

A programmable finite state machine (FSM) includes, in part, first and second memories, and a selection circuit coupled to each of the memories. Upon receiving a (k+m)-bit word representative of the k-bit input symbol and the m-bit current state, the first memory supplies one ore more matching transition rules stored therein. The selection circuit selects the most specific of the supplied rules. The transition rules are stored in the first memory in a ranking order of generality. The second memory receives the selected transition rule and supplies the next state of the FSM. The first memory may be a ternary content addressable memory and the second memory may be a static random access memory. The contents of both the content addressable memory and the static random memory is determined by an algorithm which minimizes the number of terms required to represent the next-state transition functions.

The invention discloses a path planning method based on multi-agent enhanced learning, and belongs to the technical field of aircrafts. Firstly, a global state division model of an air flight environment is established, and a global state transfer table Q-Table 1 is initialized, and the global state of a certain line is randomly selected to be used as the initial state s1; in all columns of the current sate s1, an epsilon-greedy algorithm is adopted to select a certain column to be recorded as a behavior a1; based on the selected behavior a1, the next state, a formula which is as shown in thespecification, of the current state s1 is obtained in the global state transfer table Q-Table 1; the specific element values corresponding to the current state s1 and the behavior a1 are updated in the global state transfer table Q-Table 1 according to a transfer rule of a Q-Learning algorithm; a formula which is as shown in the specification is updated to enter an inner layer cycle; and a local planning path corresponding to the updated state s1 is obtained by adopting the Q-Learning algorithm. The number of iterations of the outer-layer cycle is increased by 1 until N1, and global path planning of the aircraft in the air is completed. The aircraft can meet requirements of different environments, so that the survival rate and the task completion rate of the aircraft are improved, and theconvergence speed of the enhanced learning is improved.

The embodiment of the invention discloses a sentiment classification method based on polarity transfer rules, comprising the following steps of: finding out sentiment words from a text to be classified, and obtaining corresponding sentiment word polarity of the sentiment words; using two or more polarity transfer rules to judge whether the polarity of the sentiment words is transferred, wherein the polarity transfer rules include the polarity transfer rule based on a negative construction, or the polarity transfer rule based on a transition construction, or the polarity transfer rule based on a voice construction, or the polarity transfer rule based on an implied construction; calculating the sentiment polarity of the text to be classified according to the obtained sentiment word polarity and the polarity transfer judging result; and classifying the text to be classified according to the sentiment polarity of the text to be classified. The method avoid the negative influence of the sentiment words with transferred polarity on the text classification result, and is good for improving classification effect of the text.

A system, method and program product for copying data between disjoint data processing applications. A system is disclosed that includes: a source application having a system for selecting a data record and a triggering agent that extracts relevant data from the selected data record, launches a dialog box and displays the extracted relevant data in the dialog box; and a data transfer system having a keystroke simulator for copying and pasting data from the dialog box to an interface window in a target application based on a set of data transfer rules.

A packet processing system including a forwarding apparatus that sends and receives a packet by using a network interface and a control apparatus that includes an application receiving the packet is provided. The control apparatus includes: a symbol part corresponding to the forwarding apparatus; and a transfer control part for sending a request message, to the forwarding apparatus, requesting the forwarding apparatus to set a packet transfer rule for transferring a receiving packet to the application; and the forwarding apparatus includes: a transfer control part for setting the packet transfer rule as requested by the request message; wherein the packet transfer rule includes an interface identifier corresponding to the communication port; and when the control apparatus detects that the interface identifier is changed, the control apparatus sends a correction message, to the forwarding apparatus, requesting the forwarding apparatus to correct the interface identifier in the packet transfer rule.

The invention discloses a grain mass and heat transfer and condensation parameter detection device and method. The grain mass and heat transfer and condensation parameter detection device comprises acuboid simulation experiment bin, wherein each wall surface of the simulation experiment bin is of an inner layer-outer layer structure, and the inner layers of the wall surfaces define a cuboid cavity; the two opposite bin walls of the simulation experiment bin are connected with a cold source and a heat source respectively; a plurality of sampling ports and wall surface temperature detection ports are arranged on the cold and hot wall surfaces of the simulation experiment bin separately; and a cube of an external heating source can be placed in the center of the inner cavity. The detection device and method can be used for detecting the grain damp heat transfer rule and the condensation critical parameter and disclosing a coupling relation of the mass and heat transfer phenomenon of thegrain pile and micro-environment factors, and has important significance for guiding and improving the grain storage conditions, preventing condensation and reducing grain loss.

The invention discloses a monitoring system for an electric vehicle charging and converting station. The monitoring system comprises a background monitoring layer, an in-situ monitoring management unit and a charging and converting device layer. An in-situ monitoring intelligent terminal is connected with a monitoring background through the Ethernet, data information of monitoring devices corresponding to charging devices are integrated and uploaded to the monitoring background, and the in-situ monitoring management unit is responsible for completing information integration of the charging devices and data interaction between the charging devices and the monitoring background. According to the monitoring system for the electric vehicle charging and converting station, the in-situ monitoring management unit is adopted to be responsible for and manage data exchange between the monitoring devices of the charging devices and converting devices and the monitoring background, and information exchange is conducted with the monitoring background according to the packed data transferring rule. Due to the fact that the monitoring devices share one in-situ monitoring management unit, the communication connection management between the monitoring background and the monitoring devices is greatly reduced, the reliability of the monitoring system is improved, and the number of the monitoring devices is increased.

The invention relates to the field of communication, in particular to an illumination communication dynamic routing ant colony algorithm based on a new probability transfer function. The algorithm is applied to a network topological graph, searches a path possibly existing between every pair of nodes in a network periodically, collects the attribute values of all routing targets on each path and records the attribute values in pheromones. The illumination communication dynamic routing ant colony algorithm based on the new probability transfer function has the advantages that the new state transfer probability function is adopted, and thus the large defect that the ant algorithm is caught into a local optimum path trap easily in path optimization is avoided; the probability transfer function is adjusted by using information weight factors in normal distribution, and thus the randomness and the blindness of the state transfer rules of the ant algorithm are reduced; the intensity of the pheromones is set by segmenting the global pheromone algorithm, and the speed of concentration increase of the pheromones on the paths where ants are concentrated excessively is relieved by introducing information amount operators based on even distribution; route routing time of carrier communication controlled by straight lamps is optimized.

A packet processing system including a forwarding apparatus that sends and receives a packet by using a network interface and a control apparatus that includes an application receiving the packet is provided. The control apparatus includes: a symbol part corresponding to the forwarding apparatus; and a transfer control part for sending a request message, to the forwarding apparatus, requesting the forwarding apparatus to set a packet transfer rule for transferring a receiving packet to the application; and the forwarding apparatus includes: a transfer control part for setting the packet transfer rule as requested by the request message; wherein the packet transfer rule includes an interface identifier corresponding to the communication port; and when the control apparatus detects that the interface identifier is changed, the control apparatus sends a correction message, to the forwarding apparatus, requesting the forwarding apparatus to correct the interface identifier in the packet transfer rule.

The invention relates to an evaluation method of safety of genetically modified insect resistant rice relative to parasite anagrus nilaparvatae. The evaluation method includes three parts of Tier-1 toxicity determination test, wherein the potential toxicity of Bt proteins expressed by Bt-gene modified insect resistant rice on non-target organism anagrus nilaparvatae is evaluated; successive generation three-level nutrition test, wherein the influence of the Bt-gene modified insect resistant rice on the safety of the anagrus nilaparvatae through parasitic mediators is evaluated according to the food chain of rice-delphacidae-anagrus nilaparvatae; a protein transfer rule, wherein the way and degree that the anagrus nilaparvatae is exposed in the Bt proteins expressed by the Bt-gene modified insect resistant rice are identified through an ELISA detection means; finally, the ecological consequences generated by genetically modified crop cultivation on non-target organisms are evaluated synthetically according to the data of the three parts. The evaluation method is systematic and scientific, and has great significance for the research of the influence of genetically modified crops on the non-target organisms and ecological safety of genetically modified crop cultivation.

A system and method for managing data transfers between client computers and a computer network. Each client comprises a data transfer controller and at least two data transfer rules. The data transfer controller associates each of at least two connection states with one of the data transfer rules. The data transfer controller also detects a connection state of a client device, applies a first data transfer rule to the client device in response to detecting a first connection state, and applies a second data transfer rule to the client device in response to detecting a second connection state. In a further embodiment, the data transfer controller associates a data transfer policy with attributes of a connection between the client device and the computer network, wherein a connection state comprises a set of values of the attributes of the connection.

The invention designs a method for planning a space manipulator tail end effector avoidance path based on an ant colony algorithm. The method comprises the following steps: modeling for a space manipulator and an environment; defining a fitness function specific to the aim of keeping a short and safe avoidance path between an initial point and a target point; improving a search strategy, a transfer rule and an information element update method in the ant colony algorithm; searching for an optimal avoidance path by using the improved ant colony algorithm. Through adoption of the method, the avoidance of the space manipulator tail end effector is realized by using the improved ant colony algorithm.

The invention discloses a personalized route recommendation method based on A star search and deep learning, which comprises the following steps: step 1, taking a historical track data set D, a starting point ls, an end point ld, a departure time b and a user u as input, and then inputting a recurrent neural network; step 2, modeling a cost function (n) from the starting point to the current n node and a cost function h (n) from the current n node to the terminal point; and step 3, in the process of finding the optimal path, extending one node each time, using the f (n) to evaluate the score of the node, and recommending the personalized optimal path track p *. The invention provides a personalized route recommendation method based on A star search and deep learning. In the personalized route recommendation method, a transfer rule between track points is learnt through a recurrent neural network, an attention mechanism based on historical data is utilized to help to learn the current cost in the A * algorithm, and finally a graph attention neural network is introduced to model the future cost in the A * algorithm.

Deadlock is avoided in a grid storage system having superior scalability. Provided is a storage subsystem connected to a host computer for receiving a write or read access from the host computer. This storage subsystem includes a plurality of modules respectively having a storage resource, a switch for connecting the plurality of modules, a controller for controlling the transfer of a packet based on the write or read access from the host computer to a target module among the plurality of modules via the switch, and a memory storing a transfer rule of the packet. The controller controls the transfer of the packet based on the transfer rule.

The invention aims to resolves the problem that a demand model is difficult to be verified and provides a transfer method from the demand model to a simulation model. The transfer method enables the automatic transferring from the demand model to the simulation model to be realized. The transfer method includes firstly designing a transferring frame from the demand model to the simulation model. On the basis, a meta-model of demand model, a meta-model of simulation model, a transferring rule from the meta-model of demand model to the meta-model of simulation model are respectively designed. Finally the automatic transferring from the demand model to the simulation model is realized. The transfer method enables the isomorphic property of the two different models of the demand model and the simulation model to be realized. The development efficiency of embed software is increased. The development of driving model is rich and improved. The transfer method also provides technical support for embed software in flight control system, highway control system, airborne avionics system and the like.

The invention relates to a cloud host fault transfer method and system. The method comprises: a master control server obtains a heartbeat packet sent by at least one business server; the master control server determines whether a fault occurs at the at least one business server based on the heartbeat packet, a first preset transfer rule, and network state information; and if so, the master control server transfers all businesses of the business server to other business serves according to the first preset transfer rule. According to the embodiment of the invention, businesses of the business server with the fault can be transferred based on the preset transfer rule, so that the working efficiency of the operation and maintenance staff is improved and the fault elimination speed is increased and thus the cloud service using experience of the user is enhanced.

The present invention discloses a get-ff station speculation method and system based on user portrayals and transfer rules. The method comprises the steps of: according to an IC card transaction record of a user, performing combination processing of the number of travel times of a user; performing statistical classification for the number of travel times of the user after combination processing toobtain the riding record of a first user group and the riding record of a second user group; according to a result of statistical classification, obtaining a go-to-work get-off station and a get-off-work get-off station of the first user group; according to the go-to-work get-off station and the get-off-work get-off station of the first user group, establishing user portrayals of the first user group; and according to the user portrayals of the first user group, speculating passenger get-off stations of the second user group. The system comprises a combination module, a statistics module, anobtaining module, a user portrayal establishing module and a speculation module. The get-ff station speculation method and system based on user portrayals and transfer rules can deduce the travel ruleof each IC card, are high in pertinence, can help the bus operation system with analysis of the travel habits of passengers, are high in practicability and can be widely applied to the field of intelligent traffic.