377 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 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 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 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.

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.

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.

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.

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).

The invention provides a data exception alarm method and device, electronic equipment and a storage medium, and the method comprises the steps: screening and removing data, which does not meet a preset measurement condition, in hydrological data, and calculating a relative change value between two adjacent data in the screened hydrological data to obtain a relative change value set, sorting the data in the relative change value set and determining a median, obtaining a first judgment condition representing that the hydrological data is abnormal fluctuation data based on the median and a preset first threshold value, and obtaining a second judgment condition representing that the hydrological data is abnormal fluctuation data based on the target deviation set and a preset target deviation threshold value; and according to the first judgment condition and the second judgment condition, determining whether the hydrological data is abnormal fluctuation data, and if the hydrological data is abnormal fluctuation data, generating first alarm information. Abnormal fluctuation data in hydrological data can be effectively identified and processed, and false alarms are reduced.

The invention relates to the technical field of data processing, and discloses a multi-source data difference attribution system and method based on tensor decomposition, and the method comprises the steps: obtaining an original engineering quantity list file, and then carrying out decoupling to generate a standardized list item text sequence and an initial value set, constructing unit prices to form a tetrahedral geometric model set, mapping the tetrahedral geometric model set to a holographic feature vector space, and generating a multi-dimensional list feature vector set; constructing a standard cost reference vector field, identifying a difference vector set and generating a visual cost difference topological data model; a natural language query instruction is responded, a target difference attribution tensor is locked, a logic verification chain is constructed, and an intelligent diagnosis report is output; according to the method, a computable logic distance is established in multi-source heterogeneous data by reversely reconstructing a high-dimensional price-rate feature space, so that the problem of attribution blocking caused by dimension collapse in traditional cost auditing is effectively solved, and accurate traceability and compliance automatic diagnosis of cost differences are realized.

The invention discloses a static binary code taint analysis method based on a propagation action scope, and relates to the field of static binary code taint analysis, and the static binary code taint analysis method comprises the following steps: extracting a program instruction set and a control flow structure based on a disassembling result of a target binary code; calculating a value set with a source of the binary code based on the control flow graph; on the basis of the control flow diagram and the value set with the source, executing cross-function stain propagation analysis, and identifying memory positions or registers influenced by pollution in each function and propagation action ranges of the memory positions or the registers; and extracting all instruction sets using the taint data based on the taint and the propagation action range thereof. According to the method, the false alarm rate of static binary taint analysis can be reduced and the instruction set involved in the taint analysis can be reduced without increasing the analysis overhead, so that the method has important significance in improving the instrumentation efficiency and the operation efficiency of dynamic taint analysis and improving the accuracy of protocol reversion, fuzzy testing and vulnerability mining based on the taint analysis.

The invention discloses a layer determination method and device and electronic equipment. Relates to the field of cloud computing. The method comprises the steps that a layer modification instruction is received, the layer modification instruction is used for modifying layer parameters of a preset layer in a display interface, the layer modification instruction carries a target position and the layer modification parameters, the display interface comprises M representative layers with different layer types, and the M representative layers are provided with corresponding layer values respectively; in response to the layer modification instruction, determining a predetermined layer type corresponding to the target position in the display interface; determining a predetermined level value corresponding to the predetermined layer type; determining a predetermined layer corresponding to the predetermined level value from the M representative layers; and determining the target layer according to the predetermined layer and the layer modification parameter through the method and the device, so that the problem that interface display is disordered due to disordered setting of the level values when the layers are modified in related technologies is solved.

The invention discloses a 5G base station traffic prediction method and device, equipment, a medium and a product, and relates to the field of 5G base station traffic prediction. The method comprises the following steps: inputting a traffic data set of a current time period of a target 5G base station into a traffic prediction model composed of a gating cycle unit, a time convolutional network, a patch long-short term memory network, a cross attention fusion module and a full connection layer; the gating circulation unit obtains a hidden state set; the time convolution network and the patch long-short-term memory network extract local and global time features respectively; the cross attention fusion module performs weighted fusion on the two features; and the full connection layer outputs a traffic prediction value set in the prediction time period of the target 5G base station. According to the method, the prediction precision is improved by comprehensively capturing the time sequence characteristics and dynamic changes of the traffic data. Meanwhile, the complexity and diversity of the traffic prediction model not only enhance the generalization ability, but also support long-term prediction through the combination of multiple modules such as the GRU, the TCN, the PLSTM and the CA.

The invention provides a formal verification method and device for state transition implementation codes and a program product, and the method comprises the steps: compiling a first state transition function implemented by a C language Switch Case statement to obtain a bit code file; obtaining a Cryptol file, wherein the Cryptol file comprises a second state transfer function which is realized by using a Cryptol programming language; acquiring a first input parameter set and a first output value set corresponding to the first state transfer function, and acquiring a second input parameter set and a second output value set corresponding to the second state transfer function; simulating state transition function symbolic execution based on the first output value set, the second output value set, the first input parameter set and the second input parameter set, converting the state transition function symbolic execution into a satisfiability model theory problem, and solving the satisfiability model theory problem through an external solver to obtain a verification result of a state transition implementation code; the problem that whether state transition is implemented correctly or not cannot be guaranteed only through a manual checking mode can be solved, and the state transition code implementation correctness is guaranteed.

The invention discloses a block compression method, device and equipment based on a block chain, and a readable storage medium. The method comprises the steps of obtaining M to-be-packaged transactions; one to-be-packaged transaction comprises transaction attribute values of N transaction attribute types; according to the transaction attribute type priorities corresponding to the N transaction attribute types and the M transaction attribute values corresponding to the N transaction attribute types, performing position sorting processing on the M to-be-packaged transactions to obtain M position sorted transactions; adding transaction attribute values with the same transaction attribute type in the M position sorting transactions to the same to-be-compressed attribute value set to obtain N to-be-compressed attribute value sets; performing incremental coding compression processing on the N to-be-compressed attribute value sets to obtain N attribute value incremental codes; and performing block encapsulation processing on the N attribute value increment codes to obtain a to-be-chained block. By adopting the method and the device, the storage space required by the block can be reduced, and the performance of the block chain system is improved.

Systems and methods for providing a user interface that facilitates application development. The applications may utilize one or more underlying machine-learning models to perform application functions. Exemplary implementations may: effectuate presentation of an application development interface to developers through client computing platforms associated with the developers; receive, from client computing devices, input information indicating feature values entered and / or selected by the developers via the user interface fields; responsive to receipt of first input information, configure a first application in accordance with the feature values included in a first feature values set; provide the configured application for user by one or more users; and / or other exemplary implementations.

The invention discloses an environment monitoring method, system and device for an archival repository and a medium, relates to the technical field of environment detection, realizes generation of a heat sensitivity index vector for each archive, can provide a personalized environment management strategy for characteristics of different archives, and avoids blind protection of all archives under a unified environment condition. Secondly, environment parameters in the warehouse are collected, and an environment feature set is generated, so that the whole system can monitor important environment factors such as temperature, humidity and illumination of the warehouse in real time, and a data basis is provided for subsequent thermal sensitivity evaluation and environment adjustment. And furthermore, through matching according to the heat sensitivity index vector and the environment characteristic set, a generated risk assessment value set provides quantitative risk early warning for each file, and the file which is easy to damage under a specific environment condition can be accurately identified, so that the potential harm of environmental factors to the file is remarkably reduced.