33 results about "Selection rule" patented technology

The application relates to the technical field of power station dispatching, in particular to a distributed power station response strategy generation method and system, which comprises the following steps: constructing a plurality of state groups, and configuring corresponding classification rules of the state groups and corresponding rotation rules between the state groups; the state groups comprise a dispatching group, a preparation group and an idle group; obtaining site information of each access site in each platform, and matching the site information with the classification rules to put each site into a corresponding state group; obtaining real-time site information changes of each site, and adjusting the state group of each site based on the rotation rules; obtaining demand information corresponding to dispatching demand and / or replacement demand, judging the priority of the site in the preparation group, and electing the site meeting the demand information and the priority requirement as a response site based on a site selection rule and transferring the response site into the dispatching group. The application has the effect of improving the response capability of the distributed energy storage aggregation platform to the dispatching demand.

The application discloses a kind of methods, devices and equipment and storage medium for the synchronization of anti-replay counter of controller area network.The method comprises: constructing data block set based on the high part of anti-replay counter, including multiple data blocks with the same length in the data block set;Based on the CAN communication identifier of the controller area network CAN message to be sent and the low part of the anti-replay counter, use the preset data block selection rule to select one or more data blocks from the data block set as the coded data block;Encoding the coded data block to obtain the encoding fragment;The length of the encoding fragment is the same as the length of each data block;Fill the encoding fragment into the idle bit in the CAN message to be sent, and send the filled CAN message to the receiving end.The method sends data using idle bit, which can reduce bus burden and improve resource utilization.

The application provides a very low frequency atomic magnetometer environment interference suppression method based on polarization selection reception, wherein a precession main magnetic field B e and -B e are respectively applied by a main magnetic field coil in z direction and -z direction in front and back two regions of a gas chamber e and -B e regions are detected by using detection laser in x direction; external very low frequency signals are detected by interaction with atoms polarized in z direction to make the atoms produce precession signals in xOy plane, so that the signals are detected by light detection; when the external signals are linear polarization, according to the selection rule of angular momentum conservation, the precession signals of atoms in B e and -B e regions are offset, so that the system does not respond to linear polarization signals; for circular polarization signals, only atoms in B e or -B e region have precession signals, so that the detection of circular polarization signals is realized. The technical scheme of the application is applied to solve the technical problem of environmental magnetic noise interference of a very low frequency atomic magnetometer in an actual application scene in the prior art.

The application discloses a kind of ship design multi-criteria decision-making method selection method and system. By generalizing the characteristics of general MCDM problem and defining the characteristics of common MCDM method, and establishing the matching mapping relationship between the characteristics of general MCDM problem in problem domain and the characteristics of common MCDM method in method domain, a generalized MCDM method preliminary selection rule is generated, and a preliminary applicable MCDM method / set under a specific decision situation is obtained. On this basis, a generalized MCDM method applicability criterion and the corresponding evaluation model are established. Following the principle of combining qualitative and quantitative analysis, the actual application effect of the selected MCDM method is compared comprehensively, and the optimal MCDM method under the specific decision situation is selected accordingly. The two-step ship design MCDM method selection strategy and system of preliminary selection and optimization can effectively ensure the applicability of the preliminary selected MCDM method and the superiority of the optimized MCDM method.

This invention proposes a method and system for diagnosing DAS wellbore flow stability based on the square coherence coefficient distribution, belonging to the field of fluid acoustics technology. The method includes: acquiring raw time-series acoustic signals related to wellbore flow using DAS to obtain multi-channel raw time-series DAS data; preprocessing the data and segmenting it according to sliding time windows to obtain multiple time window samples; determining at least one reference channel according to a preset reference channel selection rule; calculating the square coherence coefficient between the reference channel and channels at various spatial locations within the target well section, and constructing a time-space-frequency distribution; extracting high-coherence regions and one or more stability features within the target frequency band; constructing a flow stability index based on the features and performing graded flow stability diagnosis; this invention also discloses a system and storage medium for executing the method, applicable to wellbore or pipeline flow stability diagnosis and abnormal section identification scenarios.

A composite control strategy of a Vienna power factor correction circuit comprises an active-disturbance-rejection voltage control outer loop and an optimized switch sequence model prediction current control inner loop, the active-disturbance-rejection voltage control outer loop designs LTD to arrange a transition process for an output voltage reference value square value to realize rapid tracking, and designs LESO to observe output and total disturbance in real time. An LESF is designed to realize zero static error adjustment through a linear error feedback rate, a switching sequence model is optimized to predict a current control inner ring, redundant vector preprocessing is adopted, a candidate redundant switching sequence is reduced by half according to a redundant vector selection rule, the calculated amount is reduced, a modulation signal is sent to an SVPWM modulation unit, a PWM signal is generated, a switching tube of a main power circuit is driven, and the switching tube of the main power circuit is controlled. And closed-loop control is realized.

The invention discloses a continuous data identifier allocation method, which relates to the technical field of data identifier allocation, and comprises the following steps: S1, determining a preset data identifier bit number, a reserved data identifier, a preset data identifier coding rule, a preset data identifier allocation rule and a preset data identifier bit selection rule; s2, constructing a data identifier management module according to a preset data identifier bit number, a coding rule of the preset data identifier bit number, a preset data identifier distribution rule and a preset data identifier bit selection rule; s3, acquiring a data identifier distribution request of the user; according to the method and the device, the data identification bits with the relevance are given to the data with the relevance, when certain data needs to be called, the data associated with the called data can be called only according to the data identification bits, the range of the called data is expanded, the range of subsequent data analysis is further expanded, and the data analysis efficiency is improved. According to the method, the data analysis precision is indirectly improved, in addition, the data calling speed is increased, and the data calling time is shortened.

The invention discloses a non-blind area island detection method and system for a new energy networking system, and the method comprises the following steps: building a coherence dual-frequency point optimization mechanism, and formulating a dual-frequency point selection rule based on an impedance angle change rate consistency criterion; enhanced injection of double-frequency composite disturbance is realized; through symmetrical component decoupling and spectral analysis, constructing a system equivalent impedance model in grid-connected and island states, and completing impedance state feature extraction; designing an island characteristic quantity calculation model for double-frequency impedance ratio calculation, calculating a double-frequency harmonic impedance module value, constructing a double-frequency impedance ratio criterion factor with a common-mode rejection characteristic, and eliminating an inherent error of a measurement system through a ratio relation; a judgment criterion of double-frequency impedance ratio change in grid-connected and island states is formulated, an action threshold is determined through grid-connected state double-frequency impedance ratio statistical characteristics based on an operation condition self-adaptive dynamic threshold setting method, a multi-cycle confirmed island detection judgment process is established, and island detection of the new energy networking system is realized.

The application discloses a method, a terminal and a network side device for transmitting UCI on a PUSCH, and is used for solving the problem of how to select one PUSCH from multiple PUSCHs with different priorities to carry UCI on a PUCCH when the multiple PUSCHs with different priorities and the PUCCH exist time domain overlap. It is determined that a PUCCH carrying UCI and multiple PUSCHs with different physical layer priorities exist time domain resource overlap; one PUSCH is selected from the multiple PUSCHs according to a predetermined selection rule, or a PUSCH with the same physical layer priority as the PUCCH is selected from the multiple PUSCHs; and the UCI is transmitted through the selected PUSCH.

Embodiments of the present specification provide a link generation method and device, wherein the link generation method comprises calling a third-party platform, recording calling data generated by calling the third-party platform to a calling log, and preprocessing calling data of the calling log; performing feature labeling on the preprocessed calling data to obtain initial features of the calling data, and selecting target features from the initial features of the calling data based on a preset selection rule; and determining a calling link of the third-party platform based on the initial features and the target features.

The embodiment of the application discloses a fracturing layer position selection method and device and a computer storage medium, and belongs to the technical field of oil and gas exploitation. The method comprises the following steps: acquiring a fracturing construction curve of a target fracturing well, geological factors of a position where the target fracturing well is located and construction data of the target fracturing well; determining an influence of the geological factors on a fracturing effect of the target fracturing well according to the fracturing construction curve, the construction data and the geological factors; and selecting a fracturing layer position in the target fracturing well according to a layer selection rule according to the influence of the geological factors on the fracturing effect of the target fracturing well. The embodiment of the application determines the influences of different geological factors on the fracturing effect, thereby more reasonably selecting the fracturing layer position, improving the difference of fracture expansion in the same fracturing layer section, making the fracturing reconstruction effect better, maximizing the reservoir exploitation, and further improving the yield.

The invention relates to the technical field of power station scheduling, in particular to a distributed power station response strategy generation method and system, and the method comprises the steps: constructing a plurality of state groups, and configuring classification rules corresponding to the state groups and rotation rules corresponding to the state groups, the state groups including a scheduling group, a preparation group and an idle group; obtaining site information of each access site in each platform, and matching the site information with the classification rule to put each site into a corresponding state group; obtaining site information change of each site in real time, and adjusting a state group where each site is located based on a rotation rule; and obtaining demand information corresponding to the scheduling demand and / or the replacement demand, judging the priority of the stations in the preparation group, electing the stations meeting the demand information and the priority requirement as response stations based on the station selection rule, and transferring the response stations into the scheduling group. The method has the effect of improving the response capability to the scheduling demand in the distributed energy storage aggregation platform.

The invention relates to a method, particularly a computer-implemented method for determining a fatigue value of a person, the method comprising the steps of:i) displaying of:a) a first group (1) of symbols and a second group (2) of symbols,b) a selection rule (3) associating each of the symbols of the first group (1) of symbols to one symbol of the second group (2) of symbols,ii) highlighting one symbol (11) of the first group (1) of symbols,iii) receiving a user input from the person selecting one symbol (12) of the second group (2) of symbols,iv) determining a truth value based on the selected symbol (12) of the second group (2) of symbols, wherein the truth value assumes a true value if the selected symbol (12) is selected in accordance with the selection rule (3) and wherein the truth value takes on a false value if not, wherein the highlighted symbol (11) of the first group (1) of symbols is highlighted for a predetermined time based on a statistical response time of the person, and wherein if the user input is not received within the predetermined time in step iv), the method is set forth with step v) having the truth value set to the false value, or the method is set forth with step vi),v) storing the truth value on a non-transitory memory device,vi) changing the selection rule (3), such that each of the symbols of the first group (1) of symbols is associated anew to one symbol of the second group (2) of symbols,vii) changing the highlighted symbol (11) of the first group (1) of symbols,viii) repeating steps iii) to vii) at least once andix) based on at least some of the stored truth values, determining a fatigue value of the person.

The application discloses a kind of product intelligent selection matching method and system based on order demand, it is related to industrial product intelligent selection technical field.The method includes: constructing product classification and selection rule base, defining parameterization selection rule;Establish product coding system and weight configuration, configure weight coefficient for each parameter, and configure common degree score based on historical selection frequency;Receive order demand, extract working condition parameters, locate product classification and load rule;Based on the algorithm of fusion parameter weight and common degree score, calculate candidate product matching degree score;According to score, output candidate product list in order.The system includes rule base management engine, weight configuration module, intelligent matching engine and recommended output module.The application changes passive condition screening into active quantitative recommendation, and integrates workflow approval and self-optimization closed loop based on historical data, significantly reduces the selection error rate, improves selection and approval efficiency.

The present application relates to the technical field of open-pit mine blasting, in particular to a quick layout method for perforation position of open-pit mine blasting, which is characterized by the following steps: constructing a simple polygon through boundary point sequencing and legality verification for irregular boundary areas; extracting the minimum rotating outer rectangle of the blasting area based on the convex hull algorithm to adaptively determine the layout direction of the hole network; constructing the long and short axis system according to the hole spacing and row spacing within the minimum rotating outer rectangle, and generating candidate hole positions by using the staggered point selection rule based on the axis number and the point number parity; finally, screening the effective hole positions within the boundary by the ray method, and outputting the geographic coordinate results by using the coordinate projection conversion module. The present application can effectively process irregular boundaries, adaptively determine the hole network direction, improve the uniformity of hole position distribution and the calculation efficiency, and output high-precision coordinates that can be directly used for drilling navigation, thereby significantly reducing the cost of manual correction.

An example storage unit (10-1) stores examples including an utterance sentence, a response sentence, and situation information. A selection rule storage unit (10-3) stores a selection rule including a dialogue state, available situation information, and a dialogue state of a transition destination. An utterance reception unit (12) receives a user utterance uttered. A dialogue state acquisition unit (13) acquires a current dialogue state. An example selection unit (14) selects a selection example in which the situation information corresponds to situation information available in the current dialogue state and the utterance sentence corresponds to the user utterance, from the examples, by using the selection rule. A dialogue state update unit (15) updates the current dialogue state to the dialogue state of the transition destination included in the selection rule. An utterance presentation unit (16) presents a system utterance based on a response sentence included in the selection example.

The application belongs to the technical field of firmware upgrading, and relates to a firmware upgrading method and device, an upper computer and a storage medium. The state of each lower computer is sensed in real time by the upper computer, and an idle lower computer is dynamically selected based on a device selection rule to perform an upgrading operation, so that in the firmware upgrading process of a target lower computer, the idle time of the upper computer is fully utilized, the upgrading task is staggered and distributed to other lower computers, and parallel and alternate upgrading operations among multiple devices are realized. In addition, by receiving the upgrading feedback instructions returned by each lower computer and updating the device selection rule accordingly, the upper computer can flexibly schedule the upgrading sequence, improving the scheduling efficiency and response flexibility of the upgrading process. At the same time, through the continuous iteration of the upgrading cycle process, it is ensured that each lower computer can receive the next round of upgrading data at the appropriate time, significantly improving the OTA upgrading efficiency of multiple MCU devices and the system resource utilization.

The application belongs to the technical field of filter optimization, and discloses an EMI filter optimization method and system based on noise source impedance, which comprises the following steps: measuring noise source impedance corresponding to common mode and differential mode of a transformer and original noise, judging insertion loss demand based on the original noise, and determining a frequency point of interest by using the insertion loss demand; determining a capacitance value of a safety capacitor based on a capacitance value determination rule, analyzing an inductance value required by the frequency point of interest under a topology cluster by using an impedance characteristic value of the safety capacitor after the impedance characteristic value of the safety capacitor is determined according to the capacitance value, and determining a common mode optimal topology; selecting a magnetic core based on a magnetic core selection rule, determining a total differential mode capacitance and a number of turns required by an inductance corresponding to the frequency point of interest according to the magnetic core information, and selecting a differential mode optimal topology by using the total differential mode capacitance; and determining a filter optimization scheme according to the common mode optimal topology, the differential mode optimal topology and the impedance characteristic value. The application realizes the functions of quantitative and accurate optimal topology and parameter optimization design of the filter.

This invention relates to the field of medical data processing technology, and more particularly to a method and system for imputing missing data in the classification of pancreatic cystic lesions. When imputing missing data in the dataset using an improved chain equation multiple imputation method, this invention selects a suitable model from a model library containing linear models, multinomial regression models, and gradient boosting tree models according to dynamic model selection rules, based on the characteristics of the variable to be imputed. Dynamic weights are then assigned based on the model's expected contribution. Furthermore, the candidate model set is redefined and model weights are redistributed in each iteration, allowing the iteration process to gradually approach the true value of the missing value, significantly improving the statistical fidelity and distribution accuracy of the imputed value.

The application provides a method and device for searching a seed set of a two-stage influence maximization problem, the method comprising: obtaining a social network graph, obtaining a reverse reachable set corresponding to the social network graph according to a preset two-stage selection rule; selecting a target node in the reverse reachable set and adding the target node to a pre-established seed set; obtaining a target function corresponding to the two-stage influence maximization problem, and determining the seed set as a seed set with the most influence if the seed set meets the target function. The application distinguishes different stages, obtains an accurate reverse reachable set, and then selects a target node in the reverse reachable set, so that the result of the seed set is more accurate.

The invention discloses a prompt information optimization method and device, a storage medium and electronic equipment, and the method comprises the steps: obtaining a false sample, enabling the false sample to be obtained based on a sample training set, first prompt information and a risk recognition large model, and enabling the first prompt information to prompt the risk recognition large model to carry out the risk classification of the sample training set, generating a plurality of pieces of optimized second prompt information through a prompt information optimization model; according to a preset prompt information selection rule, re-determining the first prompt information in the plurality of pieces of second prompt information; and on the basis of the re-determined first prompt information, re-acquiring the false sample until a preset adjustment and optimization stopping condition is met, and obtaining final prompt information. And generating a plurality of pieces of second prompt information based on the first prompt information and the prompt information optimization model, and performing selection to continuously iteratively optimize the first prompt information, thereby realizing prompt information optimization without excessive manual participation.

The invention provides a ship body structure trepanning design method based on rules, and relates to the field of ship design and manufacturing. The method comprises the following steps: firstly, constructing a design rule base containing opening types and selection rules according to a hull structure opening standard; then three-dimensional information of a target part is obtained in the three-dimensional model, and corresponding trepanning types and parameters are matched for the part based on the design rule base and the three-dimensional information; and finally, holes conforming to specifications are generated in batches. According to the method, a set of efficient and reliable design process is formed by converting the standard specification into the structured design rule and deeply fusing the structured design rule with the three-dimensional design environment, manual judgment and manual operation are remarkably reduced, the design efficiency, standardization and accuracy are effectively improved, and the design difficulty and the error rate are reduced.

Embodiments of the present application relate to the technical field of information security, and disclose a task proof method and device, a task execution method and equipment, and a storage medium. The task proof method comprises: dividing a to-be-executed computing task into multiple subtasks; selecting at least one sub-target task from the multiple subtasks based on a task selection rule; generating at least one arithmetic circuit, at least one proof key and at least one verification key corresponding to the at least one sub-target task based on the at least one sub-target task; sending the to-be-executed computing task, the at least one proof key and the at least one arithmetic circuit to a second server, receiving a computing result and a proof result of the second server; and proving the validity of the to-be-executed computing task based on the at least one verification key, the at least one arithmetic circuit, the proof result and the computing result. The task proof method disclosed in the present application solves the problem that a large amount of time is consumed in the generation of proof and verification processes, and makes the verification of a computing task more efficient.

A contextualized dataset generator selects one or more first deterministic annotations from a set of candidate deterministic annotations, wherein the set of candidate deterministic annotations correspond to a first data type identified in accordance with annotation selection rules. The contextualized dataset generator generates a first synthesizing instruction for input to a synthesizing language model based on the one or more first deterministic annotations, a synthesizing instruction template, and a scenario description specifying a task of a specified domain for which the machine learning model is to be trained or evaluated. The contextualized dataset generator synthesizes a first input prompt and one or more first probabilistic annotations by the synthesizing language model based on the first synthesizing instruction. The contextualized dataset generator adds a first datapoint to the annotated contextualized dataset, the first datapoint including the one or more first deterministic annotations, the first input prompt, and the first probabilistic annotations.

The application provides a multi-path parallel table lookup method and device and a storage medium, and belongs to the technical field of communication. The method comprises the following steps: pre-fetching a preset number of messages from a corresponding cache, and selecting a message to be sent according to a preset selection rule after the messages are placed in order; calculating the number of corresponding lookup tables for each message to be sent; determining an idle channel, and mapping the corresponding message to the corresponding channel according to the number of lookup tables to perform multi-path parallel table lookup. The application can flexibly allocate channel resources according to the actual number of tables to be queried by the message, avoid resource fragmentation caused by fixed channel allocation, allow multiple messages to query different table items at the same time by dynamically allocating messages to idle channels, and break the serial bottleneck of the traditional pipeline. Meanwhile, the application can realize entry order preservation, ensure that the next message is processed immediately after all table item lookups of the current message are completed, and two messages can be processed in one cycle.

The invention discloses a UPF forwarding tunnel establishment method and equipment. The method comprises the following steps: receiving a selection rule indication sent by a session management function (SMF); determining a CN endpoint selection rule of the UPF forwarding tunnel according to the selection rule indication; selecting a CN endpoint of the UPF forwarding tunnel according to the CN endpoint selection rule; and allocating CN tunnel information to the selected CN endpoint. Therefore, the problem that the CN endpoint for selecting the UPF forwarding tunnel in the prior art is too high in randomness and cannot meet the requirements of an operator is solved.

An embodiment of a method for implementing by a Wireless Transmit-Receive Unit (W TRU) includes receiving, from a Primary Mobile Network (PMN) to which the WTRU is registered, information related to a Secondary Mobile Network (SMN) and including an indication of an SMN selection rule, selecting an SMN in response to a trigger and to the SMN selection rule, registering to the selected SMN, and requesting establishment of a Multi-Access Protocol Data Unit (MA-PDU) session having DualSteer functionality and with an access leg over the registered SMN and with another access leg over the registered PMN.

The application discloses a steady-state parameter determination method and device, applied to the field of data processing, comprising: determining the iteration variable information and the dependent variable information in the target scene configured by the user, wherein the iteration variable information comprises the name of the iteration variable and the initial value of the iteration variable, and the dependent variable information comprises the name of the dependent variable and the target value of the dependent variable; constructing a relationship equation of the target scene according to the iteration variable information and the dependent variable information; if the loss function of the relationship equation reaches a minimum value, determining that the current initial value of the iteration variable in the relationship equation is the steady-state parameter; if the loss function of the relationship equation does not reach the minimum value, re-determining the target initial value according to a preset initial value selection rule, and iterating the relationship equation until the loss function reaches the minimum value or the iteration times reach an iteration times threshold, and determining that the corresponding target initial value is the steady-state parameter. In this way, the steady-state parameter can be automatically determined, and the steady-state problem in the system is solved.

The application discloses a method, device and computer readable medium for selecting a medicament dosing scheme, which constructs an autoregressive machine learning model based on operation state information of a preset pollutant treatment process under different reaction conditions; on this basis, reaction conditions corresponding to different to-be-tested medicament dosing schemes are taken as model inputs, the model is used to predict corresponding pollutant residual concentration kinetic curves, and the medicament dosing scheme is optimized according to a preset selection rule. Through the machine learning method, the application can accurately find the mapping relationship between the reaction conditions of the pollutant treatment process and the reaction kinetic curves from data, and the accurate and intelligent optimization of the medicament dosing scheme of the pollutant treatment process is realized by using the prediction model in combination with the selection rule.

Provided are a PRACH resource determination method and apparatus, and a storage medium, the PRACH resource determination method comprising: acquiring at least one first PRACH resource and at least one second PRACH resource, the at least one first PRACH resource being configured by a network device for a terminal device supporting PRACH resource adaptation, and the at least one second PRACH resource being configured by a network device for a terminal device supporting PRACH resource adaptation; the at least one second PRACH resource is configured by the network device for the terminal device supporting PRACH resource adaptation and the terminal device not supporting PRACH resource adaptation; and determining a target PRACH resource in the at least one first PRACH resource and the at least one second PRACH resource according to a predefined selection rule, the target PRACH resource being used for triggering an RACH process. According to the invention, the terminal equipment can adaptively select the PRACH resources, and the network energy saving effect is realized.