543 results about "Value set" patented technology

The invention discloses a MoE large model reasoning optimization method and device based on expert module dynamic scheduling, and relates to the technical field of large model reasoning optimization. The method comprises the steps of performing pre-reasoning through a MoE large model according to a dialogue text data set to obtain a first evaluation score set; performing value optimization on the GPU candidate expert quantity value set through an expert cache hit rate calculation method to obtain a GPU candidate expert optimized value set; cPU expert module dynamic scheduling is carried out based on the relation curve of the expert score ascending value-the transmission expert number, and a CPU expert scheduling index list is obtained; gPU expert module dynamic supplementation is carried out according to the first evaluation score set and the CPU expert scheduling index list, a GPU expert supplementation index list is obtained, re-reasoning is carried out through a MoE large model, and a reasoning result text data set is obtained. The invention relates to a large model reasoning optimization method for balancing model reasoning speed and output result quality of a MoE large model.

The invention discloses a propolis liquid quality detection data processing method and system, and relates to the technical field of data processing.The method comprises the steps that spectral data of a batch of propolis liquid to be detected is obtained, the content of symbolic components is analyzed, and production stage parameters are obtained; the technical key points are as follows: dynamic correction of a threshold value is realized through simulation feedback, a balance point is found between detection accuracy and efficiency, on one hand, a correction coefficient and feedback rate comparison mechanism is introduced, and whether threshold value correction needs to be performed or not is intelligently judged according to a simulation feedback result; the problem that the detection efficiency is reduced due to redundant correction actions is effectively avoided, and simplification and high efficiency of the detection process are ensured; and on the other hand, when the correction feedback displays a better result, secondary correction can be accurately performed on the adaptive threshold value, and the adaptive adjustment mechanism enables the threshold value setting to be closer to the detection requirement, so that the influence of parameter adjustment on the adaptive threshold value is reflected more comprehensively, and the detection accuracy is further improved.

The invention discloses a flame surface database construction method and device, equipment and a storage medium, and relates to the technical field of database management. Comprising the steps of performing data partitioning processing on a discrete post-mixed score space and a scalar dissipation rate in a target thermodynamic system based on a preset data partitioning method so as to obtain a data base point formed by a partitioned post-mixed score and a partitioned post-scalar dissipation rate; determining a constraint value set corresponding to the data base point according to a constraint flame surface equation corresponding to each constraint in the target thermodynamic system; solving the constraint potential energy form equation of each constraint in the constraint value set to obtain a corresponding constraint potential energy value, and determining the mass fraction distribution of each component corresponding to the data base point in the target thermodynamic system based on the constraint potential energy value, so as to construct a target flame surface database based on the temperature distribution and the mass fraction distribution corresponding to the data base point. In this way, the dimensionality of solving the equation set is reduced by reducing the number of the components of the control equation for describing the system to the number of the constraints.

The invention relates to a data query method and device based on a natural language and a medium, and belongs to the technical field of data analysis. Receiving a natural language query input by a user; constructing task planning guide information based on the natural language query, and inputting the task planning guide information into the large language model to identify a target task type corresponding to the natural language query; when the target task type is a data query type task, determining a query target index corresponding to the natural language query from an index library; on the basis of a DSL dimension normal form corresponding to the query target index, dimension fields related to semantics of the natural language query and matched enumeration values are recognized from the multiple dimension fields and enumeration value sets; and constructing a structured intermediate representation, generating an executable code corresponding to the natural language query, and executing the executable code to obtain a corresponding structured query result from a data source. According to the method and the device, the accuracy and the interpretability are considered, and meanwhile, the SQL generation flexibility is improved.

The invention provides a safe non-interactive comparison method and device for multi-party set intersection, and relates to the technical field of privacy set intersection comparison methods. The method comprises the following steps: carrying out data collection on software services of a plurality of service providers; determining a communication structure and a multi-party information exchange demand according to the advertisement scene delivery demand; performing offline data storage by adopting a cuckoo hash function to obtain a multi-party hash table; constructing a linear homomorphic hash function according to the multi-party hash table; generating a random number set offline through a trusted third party; according to the multi-party hash table, performing calculation based on one-out-of-two casual transmission to obtain a shared value set; and based on a communication protocol, the random number set, the linear homomorphic hash function and the sharing value set, performing non-interactive comparison according to a multi-party hash table to obtain an advertisement putting sharing data intersection. The non-interactive comparison method is based on non-interaction and is high in processing efficiency and high in universality.

The invention provides an efficient privacy set intersection method and device based on bucket coding, and the method comprises the steps: obtaining an input set and a target value set, the input set comprises a private set of a sender and a private set of a receiver, and the target value set is generated based on the private set of the receiver; encoding the private set of the receiver into a sparse matrix composed of a plurality of buckets through a hash function; determining a linear system of the sparse matrix; performing ascending sorting and re-labeling on the linear system according to the initial bit position set to obtain a target linear system; according to a bucket-based Gaussian elimination algorithm, based on a target linear system, through exclusive-or operation, determining oblivious key value pairs for storage; an intersection of the private set of the sender and the private set of the receiver is determined based on the oblivious key-value pair storage according to an oblivious linear evaluation protocol. According to the invention, communication resources required by privacy set intersection in an actual production environment can be further reduced.

The invention discloses a cold storage temperature optimization control system and method for a chilled water storage air conditioning system, and relates to the technical field of chilled water storage air conditioning management.The method comprises the steps that 1, a plurality of operation parameters in the system operation process are collected; performing time synchronization and abnormal value elimination on the operation parameters to form a dynamic operation data set; and 2, judging the current hydraulic circulation state based on the dynamic operation data set, and outputting a circulation deviation signal when any index of the total flow of the system, the flow distribution of each branch or the temperature difference change rate of the supplied water and the returned water exceeds a set corresponding threshold value. By constructing the dynamic operation data set and monitoring key parameters such as the system temperature, the flow and the water pump operation state in real time, a unified multi-dimensional data basis is established, support is provided for follow-up operation state recognition and control strategy execution, and the real-time performance and accuracy of control are remarkably improved.

The invention relates to the technical field of anomaly monitoring, in particular to an online monitoring system for motion data of sand blasting equipment based on artificial intelligence, the system comprises a processor and a memory, and the processor executes a computer program stored in the memory to realize the following steps: obtaining a target difference characterization value sequence corresponding to an initial difference characterization value sequence, according to the historical target difference characterization value of each target difference characterization value in the target difference characterization value sequence, obtaining a difference degree characterization value corresponding to each target difference characterization value in the target difference characterization value sequence; according to the difference degree characterization value, obtaining an abnormal degree characterization value set at the current moment, and according to the abnormal degree characterization value in the abnormal degree characterization value set, obtaining a result of monitoring the working state of the sand blasting equipment; and the accuracy of monitoring the working state of the sand blasting equipment can be improved.

The invention discloses a cross-device memory dynamic complementary utilization method based on CXL protocol interconnection and a computer system. The method comprises the following steps that an ECC module of a memory detects data in the data transmission process; when a data error is detected, the error is positioned by the ECC module, the error counting module corresponding to the position is updated, and an error report is generated; when the counting value of the error counting module reaches a set threshold value, the area corresponding to the position is marked as a failure area; evaluating the states of all memories based on the spatial dimension, the health dimension, the time delay dimension and the load dimension, and selecting a target memory according to an evaluation result of the states of the memories; distributing a new logic address for the failure area based on the error report and a selected target memory; the logic address is transmitted to a target memory through a CXL protocol, and an address mapping table is updated at the same time; and after the mapping is successful, migrating the data of the failure area to the healthy area of the target memory by the system through a CXL protocol.

The invention discloses a control method and device based on a PLC system fuzzy algorithm, and belongs to the technical field of water treatment. The device comprises a PLC control module which integrates a fuzzy control algorithm and is used for processing an input signal in real time and generating a control instruction; the target value setting module is used for receiving a liquid level or flow target value set by a user and displaying the liquid level or flow target value through a human-computer interaction interface (HMI); the sensor feedback module is used for acquiring an output actual value of the equipment in real time and transmitting data to the PLC control module; the fuzzy rule base is used for storing fuzzy control rules based on deviation and deviation change rate, and the fuzzy control rules define control logic in an IF-THEN form; the execution control module is used for controlling the running state of the equipment according to the defuzzified control parameters, a preset adjustment interval and a single adjustment amplitude; and the opening degree limiting module is used for setting the maximum opening degree and the minimum opening degree of the equipment, and when the control parameter exceeds the limit, the control parameter is automatically cut off to a boundary value.

This application provides a wireless communication method, a terminal device, and a network device. The wireless communication method includes: A terminal device selects, based on a first parameter, a value set from a first value set and a second value set that are of slot offsets and that are configured by a network device, wherein all slot offsets in the first value set are greater than a first threshold, and at least one slot offset in the second value set is equal to the first threshold; and receive DCI, wherein a slot offset carried in the DCI belongs to the selected value set, and the slot offset is used to indicate an offset in a quantity of slots of a PDSCH scheduled by the DCI relative to the DCI. According to the technical solutions in this application, the different value sets correspond to different data channel scheduling mechanisms.

The invention belongs to the technical field of cutter wear monitoring, and discloses a titanium alloy aviation structural member rough machining cutter wear self-adaptive monitoring method, which comprises the following steps: step 1, determining a cutter wear monitoring threshold T0 according to a machine tool spindle load torque value; 2, within the fixed period T1, a numerical control machine tool spindle load torque value set A in the rough machining process of a tool is collected; 3, performing low-pass filtering on the data in the set A to obtain a data set B; 4, performing kurtosis value analysis and evaluation processing on the set B to obtain a data set X; 5, performing data classification on the data set X by using a support vector machine, and obtaining a data set T by taking a set with the maximum number after classification; step 6, calculating a torque average value # imgabs0 # of the data set T; and step 7, performing cutter wear self-adaptive monitoring on the torque average value # imgabs1 # of each period according to a threshold value T0.

The invention discloses a strategy previewing method based on a cloud management platform and the cloud management platform, which are beneficial for tenants to formulate access control strategies with higher quality, and the cloud management platform authenticates the tenants based on the access control strategies, so that a better effect can be achieved. The method comprises the steps that a cloud management platform receives a first access control strategy and assignment information input by a tenant through an editing interface, the first access control strategy comprises a first parameter to be assigned, and the first access control strategy is used for the cloud management platform to authenticate the tenant; if the assignment information contains a first numerical value set by the tenant for the first parameter, the cloud management platform assigns the first parameter in the first access control strategy based on the first numerical value to obtain an assigned second parameter and a second access control strategy containing the second parameter; and the cloud management platform displays a second access control strategy to the tenant through the preview interface, wherein the second access control strategy is used for indicating that the cloud management platform successfully or unsuccessfully authenticates the tenant.

The invention relates to an automatic interface test management method and device, equipment and a medium, and the method comprises the steps: obtaining an interface document of a to-be-tested interface, carrying out the analysis of the interface document, generating interface case data containing the primary configuration content of an interface case, and transmitting the interface case data to a server; performing execution grouping on the interface cases configured with the input parameter value set, generating a case execution group based on interface grouping information and a preset test execution strategy, setting an execution sequence and an exception handling rule for the case execution group, and generating a corresponding execution link at the same time; calling an execution link based on the trigger request to sequentially use each group of request content execution cases in the input parameter value set to execute the interface cases in the group, and generating corresponding case execution results; high automation and intelligentization are achieved in the whole interface test process, manual intervention is remarkably reduced, the test coverage rate is increased, the problem response speed is increased, and therefore the working efficiency of testers is effectively improved, and the human error risk is reduced.

A bot detection service is enhanced by providing improved threat scoring using dynamic clustering of telemetry data received from a server. The detection approach leverages the notion that bot traffic is statistically anomalous compared to empirical models of human traffic. In particular, bots have more similar and repeating network patterns (i.e., lists of field values derived from client telemetry) that lend themselves to tighter clustering than random human traffic. The technique herein leverages this notion by providing a bot detection service with a network pattern clustering algorithm that differentiates bot-versus-human traffic by searching for similar and repeating network patterns that cluster together by virtue of having lesser variation (as compared to human traffic) in their field value sets.

The present invention discloses a performance evaluation method and device for an automatic and rapid deployment and retraction tent. The method comprises: collecting a performance index test data set for the automatic and rapid deployment and retraction tent; the performance index test data set comprises an deployment and retraction index test data set, an efficiency index test data set, and an environmental adaptability index test data set; each type of index test data set comprises several types of index test data sequences; preprocessing the performance index test data set to obtain a preprocessed data set; performing classification evaluation processing on each type of index test data set in the preprocessed data set to obtain a sub-index test value set; and performing fusion evaluation processing on the sub-index test value set to obtain a performance evaluation result value for the automatic and rapid deployment and retraction tent.

The invention discloses a micro-grid safety monitoring method and system based on attack detection data, and relates to the field of power grid safety monitoring, and the method comprises the steps: outputting a state vector of each node; obtaining a predicted attacked result of each node; outputting an estimated value set and a measured value set of the operation data of each prediction node; and obtaining an attack detection result of each prediction node and executing corresponding operation. According to the method, the data channel safety degree and the multi-dimensional evaluation parameters are fused, a state estimation and attack probability recognition mechanism combining extended Kalman filtering and a time sequence model is introduced, a hierarchical response mechanism is set according to attack levels, the elastic defense and active recovery capability of the system under different attack intensities is improved, and stable operation of the micro-grid is guaranteed.

The invention relates to a load balancing routing system and method for a large model. The system comprises a request analysis component for receiving a data processing request of a user to obtain token information of the data processing request; the subset segmentation component is used for dividing a token subset from the head of the token information of the received data processing request every time by taking a preset token number as a cardinal number, and generating a hash value of each token subset which is divided, so as to form one or more hash value sets; the load information acquisition component is used for acquiring a hash value set and the load amount of the data processing request being processed aiming at each destination processing instance; the scoring component scores each destination processing instance based on the matching degree between the current data processing request and the hash value set of each destination processing instance and the load capacity of each destination processing instance; and the forwarding component is used for forwarding the current data processing request route to the destination processing instance with the highest score or multiple highest scores.

The embodiment of the invention discloses a front-end page code generation method and device, electronic equipment and a medium. A specific embodiment of the method comprises the steps of performing multi-source data fusion on a multi-source front-end page design draft set and user historical page browsing behavior information to obtain front-end page fusion design information; performing element visual semantic extraction on the multi-source front-end page design draft set to obtain a page text element information set and a page design visual element information set; constructing a page behavior semantic knowledge graph; generating an initial front-end page code; code interaction adjustment is carried out after code adjustment is carried out on the initial front-end page code, and a front-end interaction code is obtained; performing multi-dimensional page evaluation on the front-end page to obtain a page multi-dimensional evaluation value set; and performing code dynamic adjustment and optimization on the front-end interaction code. According to the embodiment, the front-end page code can be automatically and accurately generated, the code generation efficiency and adaptability are improved, the page error with a design draft is reduced, and the user interaction experience feeling is improved.

The invention relates to the technical field of data processing, and provides a material processing cost data analysis method and system for engineering management, and the method comprises the steps: obtaining a plurality of value sets; obtaining first steady-state features of the two value sets according to the difference of the data values corresponding to different data points in the two value sets; obtaining a second steady-state feature of the value set according to the data value difference of the data points in the value set; obtaining steady-state factors of the two value sets according to the first steady-state feature and the second steady-state feature; obtaining similar classes according to the steady-state factors of the two value sets; obtaining the correlation of the value sets which are not in the similar classes from the value sets which are not in the similar classes; obtaining a correlation class based on the correlation; and compressing the steady-state factors in the similar classes and the related classes to obtain compressed data, and completing data analysis according to the compressed data. The method ensures the processing effect under run compression and highlights the feature relationship in each index data.

The present invention suppresses work cost increases and effectively prevents the occurrence of work errors by appropriately executing data updates when BIM data is to be shared. In the BIM data management system according to the present invention, a server comprises a family data management unit that manages family data constituting a BIM model, a family set data management unit that manages family set data, a value set data management unit that manages value set data, a value list set data management unit that manages value list set data, and a data set management unit that manages a data set, and a terminal device comprises a data linkage instruction unit that links the family set data, value set data, and data set between the terminal device and the server (see fig. 1).

The invention discloses a big data-based event prediction method, device and equipment and a storage medium, and the method comprises the steps: collecting an initial data set, carrying out the preprocessing, predicting a situation value set and a situation variable quantity through a situation evaluation model and a situation prediction model, further calculating an event state transition probability, and determining an event state. And finally, performing safety early warning according to the event state and the event importance. The method solves the problems that an existing event prediction method only pays attention to the event situation and ignores the situation change trend, and the prediction precision is low and the feature selection is unreasonable when large-scale and multi-dimensional data are processed.

A logical expression acquisition unit (502) acquires a logical expression that represents a condition under which searchable encryption is permitted, by a logical structure with a plurality of attribute values and a logical operator. An encrypted tag generation unit (504) sets a secret sharing value which reflects the logical structure, to each of the plurality of attribute values, and generates an encrypted tag to be used for the searchable encryption, using a plurality of secret sharing values set to the plurality of attribute values.

The invention discloses an interactive intelligent customer service robot interaction method and system based on a large language model, and relates to the technical field of artificial intelligence. A pre-trained BERT model is adjusted according to preprocessed text data to obtain an intention entity recognition model; predicting dialogue intention category probability distribution and a dialogue entity label sequence of the interaction object by utilizing an intention entity recognition model, constructing a causal relationship graph among dialogue intention categories, dialogue entity labels and behaviors, recognizing the dialogue intention category probability distribution and the dialogue entity label sequence of the interaction object in real time, and setting the dialogue intention category probability distribution and the dialogue entity label sequence as target demand variables; determining a value set of the target demand variable, calculating probability distribution of the value set according to the causal relationship graph, taking a value of which the probability is greater than a probability threshold as a main demand of an interaction object, retrieving a solution related to the main demand to generate a dialogue reply, and obtaining feedback of the interaction object to dynamically adjust a dialogue strategy. And intelligent customer service interaction work is realized.

The invention relates to the technical field of pool accumulated water processing, and discloses a pool accumulated water monitoring method and system based on an overflow gap, and the method comprises the steps: comparing a liquid level value digital signal with a threshold value set by a historical liquid level value digital signal, and outputting an overflow monitoring signal if the liquid level value digital signal is higher than the threshold value; receiving an overflow monitoring signal, collecting real-time data of an overflow port pool, constructing an overflow port simulation model based on a historical overflow port pool signal, and inputting the real-time data into the overflow port simulation model for simulation; judging the state of the overflow port pool according to the simulation result, formulating an adjustment scheme according to the state of the overflow port pool, inputting the adjustment scheme into the overflow port simulation model for simulation, and performing iteration in sequence until the data of the overflow port pool is qualified. The system comprises an overflow signal acquisition module, an overflow simulation module and a scheme making module. Dynamic adjustment of the state of the overflow port pool is achieved through the simulation model, and it is ensured that the pool runs within a safe range.

The invention discloses a side channel analysis method and device, equipment, a storage medium and a program product, and the method comprises the steps: obtaining a side channel segment related to polynomial multiplication of a secret key in mask-protected Kyber algorithm side channel data, and inputting the side channel segment into a Hamming weight classification model, the Hamming weight prediction value of the polynomial multiplication operation output result is obtained, and the Hamming weight classification model is obtained by adopting public stage data training of mask-protected Kyber algorithm side channel data; generating a candidate value set of different mask shares related to the same key coefficient according to the Hamming weight predicted value; screening out a target key coefficient from the candidate value set; and under the condition that the target key coefficient is successfully matched with the real key, determining that the side channel vulnerability that the key is stolen exists in the Kyber algorithm protected by the mask.

To provide a system of supporting setting of appropriate input values for input items in automatic crawling of web sites.SOLUTION: A website inspection server 10 provides a user operating a user terminal 30 communicably connected via a communication network 20, with a website inspection service for inspecting a website 22 specified by the user. When automatically crawling the web site 22, the server 10 identifies input items on web pages, where the input values set for the input items are set on the basis of information output from a learned model, so as to facilitate use of appropriate input values for various websites, compared with a case of using pre-prepared input values.SELECTED DRAWING: Figure 1

The invention discloses a file transmission method, a computer readable medium and equipment, the file transmission method is applied to file synchronization equipment, preset password bytes are pre-stored in the file synchronization equipment, a file to be transmitted is sliced, and a sliced file set is generated; performing Hash calculation on each slice file in the slice file set to generate a first Hash value set, the Hash calculation of the slice files including embedding preset password bytes in file data; sending the first hash set to another file synchronization device; and sending the slice files in the slice file set to another file synchronization device through multi-thread concurrent transmission, so that the other file synchronization device performs hash verification on the slice files in combination with pre-stored preset password bytes, and when the verified hash value set is matched with the corresponding hash value in the first hash value set, transmission succeeds. Otherwise, triggering a retransmission request of the corresponding slice. According to the transmission method disclosed by the invention, double improvement of safety and reliability is realized.

The invention discloses a data importing method and device, computer equipment and a computer readable storage medium. The method comprises the steps of generating a first SQL statement according to parameters of an import task of a preset database and a template of the import task, and filling a preset array variable with the first SQL statement; establishing connection with the database to obtain a cursor object for operating the database; generating a target date partition name set and a target date partition value set of the imported task in the template; based on the cursor object, querying a database according to the target date partition name set and the target date partition value set to obtain a target column name set of a target import table of the import task; and according to the array variable, the target date partition name set, the target date partition value set and the target column name set, the import task is generated, and the import task is input into the database, so that a large batch of data is rapidly imported into the database, and the efficiency of importing the data into the database is improved.

A method for writing data sets (DS) into a relational database (13), wherein each data set (DS) comprises at least two attributes (A), includes the steps of: determining at least one value for at least one of the attributes (A1) as criterion for filtering the data sets (DS) by the attribute value; computer implemented outputting data sets (DS) filtered by the attribute value in an output view (AS) and providing an input field (EF) in the output view (AS) for entering a value for another one of the attributes (A4); in response to entering a value in the input field (EF) of the output view (AS) computer implemented generating a complete data set (DS4) including the value set as filter criterion for the corresponding attribute (A1) and the entered value for the other attribute (A4); and storing the generated dataset (DS4) in the relational database (13).