175 results about "Value set" patented technology

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 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 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.

This application provides a method and related equipment for processing printer model templates based on MD5 verification. The method includes: obtaining the local global template MD5 value from a local template database; sending the local global template MD5 value to a server for comparison with the cloud-based global template MD5 value on the server; if a global comparison result indicating inconsistency is received from the server, obtaining a set of local single template MD5 values ​​from the local template database; sending the set of local single template MD5 values ​​to the server for comparison with the cloud-based single template MD5 value set on the server; receiving templates for different printer models from the server; and updating the corresponding printer model templates in the local template database using the templates for the different printer models. This application can reduce network bandwidth consumption and shorten data processing time in the printer model template data synchronization scheme, thereby improving the update efficiency of printer model template data.

This document describes techniques related to downlink transmission for high-speed scenarios. In one embodiment, a method includes: decoding a Transport Configuration Indicator (TCI) configuration element (IE) associated with a Physical Downlink Shared Channel (PDSCH) or Physical Downlink Control Channel (PDCCH), the TCI configuration IE including a first Tracking Reference Signal (TRS) configuration having a first Non-Zero Power Channel State Information Reference Signal (NZP-CSI-RS) resource identity (ID) and a Quasi-Co-address (QCL) type value set to type A, and a second TRS configuration having a second NZP-CSI-RS resource ID and a QCL type value set to type A; determining, based on the TCI configuration IE, that the Tracking Reference Signal (TRS) is associated with the PDSCH or PDCCH; determining parameters based on the TRS; and decoding the PDSCH or PDCCH based on the determined parameters. Other embodiments may be described and claimed.

The application relates to the field of semiconductor counting statistics, and discloses a DDR memory counting statistics method, equipment and a storage medium. The method comprises the following steps: when a counting request is received; performing polling allocation combination processing on a counting statistics ID and a counting request value to generate an allocation array; querying a memory statistics value corresponding to the counting statistics ID from a preset DDR memory; accumulating the memory statistics value and the counting request value to generate a new memory statistics value, and writing the new memory statistics value into the DDR memory; when a reading statistics request is received; querying all statistics values corresponding to the reading statistics ID from the DDR memory according to a reading statistics ID to generate a statistics value set, wherein the reading statistics ID is used to poll a Block counter value in a Block counter value set; and calculating a statistics output value corresponding to the reading statistics request based on the statistics value set. In the embodiment of the application, the characteristics of the DDR address are used for addition and subtraction of statistics values, a complex Cache mechanism is not needed, and the logical complexity and timing convergence difficulty are reduced.

To provide a method for effectively verifying a remitter or a recipient while technically protecting personal information, and an electronic device for performing the method.SOLUTION: Identifying, by the electronic device, a set of hash values of the sender's name generated based on the name information and a set of hash values of the sender's date of birth generated based on the date of birth information, and determining, by the electronic device, a S205 based on the set of hash values of the sender's name and the set of hash values of the sender's date of birth; A verification request message including a set of hash values of a name of a sender, a set of hash values of a birth date of the sender, and a receipt virtual asset address is transmitted to a receipt server, a response message including verification result information on whether the sender and the recipient match each other, which is performed based on the S210 and verification request message, is received from the receipt server, and it is determined whether to transfer virtual assets from a sending virtual asset address of the sender to the receipt virtual asset address based on the S220 and verification result information.SELECTED DRAWING: Figure 2a

Described herein are techniques related to downlink transmissions for high speed scenarios. In one embodiment, a method includes decoding a transmission configuration indicator (TCI) configuration cell (IE) associated with a physical downlink shared channel (PDSCH) or a physical downlink control channel (PDCCH), the TCI configuration IE includes a first tracking reference signal (TRS) configuration having a first non-zero power channel state information reference signal (NZP-CSI-RS) resource identity (ID) and a quasi-co-location (QCL) type value set to the type A, and a second TRS configuration having a second NZP-CSI-RS resource identity (ID) and a QCL type value set to the type A; determining that a tracking reference signal (TRS) is associated with a PDSCH or a PDCCH based on the TCI configuration IE; determining a parameter based on the TRS; and decoding the PDSCH or the PDCCH on the basis of the determined parameter. Other embodiments may be described and claimed.

The invention discloses a method for generating a mapping relationship between an FPGA bit stream and configuration resources, which belongs to the technical field of hardware security, and comprises the following steps of: regarding the distribution of logic units of a Flash FPGA as a two-dimensional matrix, and extracting to obtain a logic unit set and a configuration set; constructing a column logic unit set, and calculating row address offset to obtain a row offset value and a row address hopping value set; constructing a row logic unit set, and calculating the column address offset to obtain a target column reference set and a target column address offset set; constructing a target column address offset subset, and calculating to obtain the length of an open interval, the size of a basic configuration block and the total number of the basic configuration blocks; and obtaining an initial address of the configuration data, and calculating to obtain a configuration resource mapping result of the logic units in combination with the total jump value of the first row of logic units. According to the invention, the problem that the accurate corresponding relation from the bit stream file to the configurable hardware resources in the FPGA is difficult to establish effectively is solved.

The application discloses a page display state determination method and device, electronic equipment and a storage medium, and relates to the field of financial technology or other related fields. The method comprises the following steps: obtaining a target page set, collecting label element information of the target page, and obtaining a label element information set, wherein the target page comprises M sampling regions, the label element information comprises a label element quantity and an element color code, M is a positive integer; calculating a feature value of each sampling region based on the label element information set, and obtaining a feature value set of the target page; performing clustering processing on the feature value set based on a preset clustering algorithm, and obtaining a clustering result, wherein the clustering result represents the dispersion degree of the feature value; and determining the display state of the target page based on the clustering result. The application solves the technical problem that the page detection method in the related art cannot accurately detect the display state of some devices, and device display abnormalities are prone to occur.

The deep neural network recommendation system with prediction reliability comprises the following steps: obtaining and cleaning data information from a database to obtain required information; dividing a user-item rating matrix R into corresponding several independent and only containing 0-1 binary sub-matrices according to different rating values set by the system; using a double-tower model in a deep neural network to train the obtained sub-matrices in parallel to predict the probability value of the same blank area in each sub-matrix; normalizing the obtained probability value in each sub-matrix, and taking the maximum normalized probability value as the reliability probability; finding the rating represented by the corresponding sub-matrix according to the obtained reliability probability, and taking the rating as the predicted rating of the blank area; comparing the predicted rating with the reliability threshold value set by the system, filtering the predicted rating with a reliability probability lower than the threshold value, and retaining the rating with a higher reliability probability; sorting the filtered predicted rating set, pushing the first k items with higher predicted ratings to the target user, and forming a personalized recommendation list.

Disclosed herein are system, computer-program product (non-transitory computer-readable medium), and method embodiments for machine-learning prediction or suggestion based on object identification. A system including at least one processor may be configured to cross-reference an identifier of a selected object with a list of known unique identifiers. The selected object may be selected via received selection. The at least one processor may further retrieve a set of values associated with the identifier of the selected object, upon determining that the list of known unique identifiers includes the identifier of the selected object, and perform machine-learning to derive a predicted-value set based at least in part on the set of values associated with the identifier of the selected object and a category applicable to the selected object. The at least one processor may determine that the predicted-value set satisfies a predetermined confidence condition, and output at least part of the predicted-value set.

The application discloses a table data synthesis method, system, device and storage medium. The table data synthesis method comprises the following steps: removing duplicate semantic dimension label values of all semantic dimensions of a first table training sample set; combining each semantic dimension of each first table training sample and each semantic dimension label value of each semantic dimension; removing duplicate first combined label values in a first combined label value set; determining the number of times that each second combined label value in a second combined label value set appears in the first combined label value set; screening the first table training sample set based on the total number of times of each second combined label value, a first probability value and a preset number of training samples; training a first table data synthesis model based on a second table training sample set to obtain a trained table data synthesis model, thereby improving the efficiency and accuracy of table data synthesis.

Embodiments of the present application provide an abnormal traffic processing method and device, wherein the method comprises: obtaining a request message; the request message contains a request path of a request target interface; in response to a preset determination condition being met, marking the request message as abnormal traffic, and performing flow limiting on the request message, wherein the preset determination condition comprises: a dictionary tree of the target interface existing in a gateway memory, the request message comprising all candidate keys in the dictionary tree, a target feature key in the request message matching one candidate value in a candidate value set associated with the target candidate key. Through the present application, the technical problem that highly counterfeit, flexible and variable weak feature abnormal traffic cannot be efficiently discovered and processed in the related art is solved.

The invention discloses a signal sorting method and device based on multi-hypothesis tracking, and a storage medium, and relates to the technical field of radar signal processing. The method comprises the following steps: acquiring a pulse TOA sequence, and calculating a PRI candidate value set; searching an effective initial pulse pair in the TOA sequence, and creating an initial tracking hypothesis for the effective initial pulse pair; aiming at the initial tracking hypothesis, searching the next matched pulse; if the matched pulse is found, judging whether the currently used PRI value is consistent with the PRI value of the initial tracking hypothesis or not: if so, updating the initial tracking hypothesis; if not, creating a new branch hypothesis; fusing and pruning all tracking hypotheses at regular intervals; confirming the tracking hypothesis meeting the output condition as a sorted radar pulse sequence, and outputting the sorted pulse sequence and a corresponding PRI change mode sequence; and repeating the steps in sequence for the residual pulse sequence which is not sorted until the sorting ending condition is met. According to the invention, the reliability of PRI sorting is improved.

The application discloses a data screening, large language model output acceleration method, device, medium and product. The data screening method comprises the following steps: selecting a thread bundle and determining a local comparison value of the thread bundle; triggering each thread bundle to execute an operation of comparing the numerical value between each current probability value and the baseline value of itself, and updating the key value of itself using each current probability value greater than the baseline value of itself; comparing the screening threshold of a target screening algorithm with the key value of each thread bundle; if the screening threshold and the key value of each thread bundle do not match, updating the target set and the current probability value set according to the identified first thread bundle and second thread bundle; and if the screening threshold and the key value of the third thread bundle match, updating the target set according to the third thread bundle as a screening result. The technical scheme of the embodiment of the application effectively reduces the calculation complexity of the data screening algorithm in a soft and hard cooperative manner, and maximally utilizes the parallel computing hardware in the artificial intelligence acceleration computing chip.

The application discloses a two-stage low-resource dialogue state tracking method based on state value generation, which comprises the following steps: adopting Prompt Learning fine-tuning pre-training language model to obtain all state value sets mentioned by the current round user from dialogue context; adopting self-training to use large-scale easily obtained dialogue data to enhance the state value generation effect in the low-resource scene; in order to filter out the low-confidence pseudo-label data in the self-training process, a state value evaluator is designed to evaluate the quality of the generated state value, and the training data of the evaluator is obtained by negative sampling on the limited training set data; finally, the pre-training language model is fine-tuned based on Prompt Learning to generate the corresponding slot for each generated state value. The application makes full use of the pre-training language model to complete the low-resource dialogue state tracking task, and adopts self-training to use the unlabeled dialogue data to enhance the state value generation effect. The effect of low-resource state tracking is greatly improved.

The present disclosure provides a method executed by a device, and a device. The method executed by a device comprises: receiving a reader-to-device (R2D) transmission to the device; and executing a device-to-reader (D2R) transmission triggered by the R2D transmission, wherein a value set Equation (i) of a small frequency shift (SFS) factor value used by the D2R transmission is a set predefined for a bit duration Equation (ii) of the D2R transmission, wherein when Equation (ii)=4·106 / 15·103 μs, the set Equation (i) comprises 1, 4, 8, 16, 32, 64, and 128; when Equation (ii)=4·106 / 30·103 μs, the set Equation (i) comprises 1, 4, 8, 16, 32, and 64; when Equation (ii)=4·106 / 60·103 μs, the set Equation (i) comprises 1, 4, 8, 16, and 32; when Equation (ii)=4·106 / 120·103 μs, the set Equation (i) comprises 1, 4, 8, and 16; when Equation (ii)=4·106 / 240·103 μs, the set Equation (i) comprises 1, 4, and 8; when Equation (ii)=4·106 / 480·103 μs, the set Equation (i) comprises 1 and 4; and when Equation (ii)=4·106 / 960·103 μs, the set Equation (i) comprises 1.

This invention discloses a method, device, and computer-readable storage medium for improving frame rate in game scenes. The method includes: identifying whether each element color value in the first element color data value set of the main scene model in the main buffer of the current frame is identical to an element color value in the second element color data value set of the simplified model in the secondary buffer; in the next frame, placing each element with the same element color value in the secondary buffer and waiting directly for image rendering; performing coordinate transformation, perspective transformation, and cropping operations on each element with different element color values, placing it in the main buffer, and waiting for image rendering. This achieves an efficient game scene frame rate improvement scheme, reduces computational load, saves processing resources, and enhances the user's gaming experience.

The present application relates to the field of automation, and discloses an anti-pinch early warning method and apparatus, and an electronic device. The method comprises: determining distance values between sensing points of a sensor module and the sensor module, and constructing a target distance matrix on the basis of the distance values; acquiring an operating state value of a movable end, and determining a target template matrix on the basis of the operating state value; performing differential calculation on the target distance matrix and the target template matrix according to a preset rule to obtain a target difference matrix, and grouping matrix element values in the target difference matrix on the basis of connectivity of the matrix element values in the target difference matrix, so as to obtain Q matrix element value sets; and determining the number of elements in each matrix element value set, and determining an anti-pinch early warning result on the basis of the number of elements. The present application solves the problem in the related art of a high risk of a user being pinched due to the fact that an anti-pinch operation can be started only upon detecting that a movable end of a target device is in contact with a foreign matter.

The application discloses a kind of recommended content management method and related device, specifically related to the machine learning technology of artificial intelligence.The interaction data corresponding to target object is obtained;Then the object portrait is obtained by being statistically carried out in the interaction data based on preset feature dimension;And according to the plurality of features in object portrait, the plurality of features are evaluated to obtain the interaction feature value set;Combining the target feature value is obtained by the income feature value and the interaction feature value set;Further, the target content in recommendation set is determined for pushing according to target feature value and is shown.Thereby, the conversion and income of recommended content in the pushing process are balanced, since the feature dimension is considered by adopting multiple time windows and combining data transmission mode, the integrity of object portrait is guaranteed, and the accuracy of recommended content pushing is improved.

The invention relates to the technical field of electric power systems, and provides a generator tripping formula constant value setting method for a safety and stability control strategy and related products, and the method comprises the steps: obtaining key section power historical data, and obtaining the occurrence probability of key section power in each simulation data based on the key section power historical data; wherein the key section power is a power transmission value at a specific key section in the power system; constructing a weighted control cost index function based on the occurrence probability of the key section power; and setting a fixed value of the generator tripping formula by taking the minimum weighted control cost index function as a target to obtain a final generator tripping formula. According to the method, the overcut amount of a scene with a large occurrence probability can be as small as possible in the fixed value setting process of the stability control strategy generator tripping formula, better economical efficiency is achieved while safety is guaranteed in engineering application, and the method has practical guiding significance.

The invention provides a pressure adjusting method and device based on cutter plate data, and the method comprises the steps: obtaining the cutter plate data of a mold plate, the cutter plate data comprising tangent line data and / or indentation line data; determining an optimal effective line pressure value according to the tangent line data and / or the indentation line data; a correction coefficient is measured and calculated through an initial mold pressing value set during budgeting operation and an actual mold pressing value measured through mold pressing testing; and according to the tangent line data, the indentation line data, the optimal effective line pressure value and the correction coefficient, a target pressure value is obtained through a preset pressure algorithm, and the pressure of the mold plate is adjusted according to the target pressure value. According to the invention, the pressure can be rapidly set and adjusted under different working conditions, the dependence on manual skills is reduced, rapid plate replacement is achieved, and the working efficiency and the quality of processed products are effectively improved.

This invention relates to the field of Internet Protocol (IP) technology and discloses a method and storage medium for storing overlapping IP segment types based on LPM (Limited Memory Management). The method involves loading IP segment and VALUE information into an IPVALUE array; constructing an IP scale based on the IPVALUE array; traversing the IPValue array and measuring according to the IP scale array to obtain the IP segment fragment; querying the LPM unit based on the IP segment fragment; if a corresponding fragment IP is found, using the return value of the LPM unit as the VALUE set for that IP segment fragment; if no corresponding fragment IP is found, creating a Value set to store the fragment's Value information, and then storing the address of the fragment IP and the address of the Value set in the LPM unit; querying a specified IP based on the LPM unit, returning null if not found, and returning the address of the set array if found. This method effectively supports the storage and querying of multiple overlapping IP segment information while maintaining low memory usage and high query efficiency.

Some embodiments of the present application provide a display device and a playing interface key interaction method. The method can acquire a key instruction input by a user when the display device displays a recommended media playing interface. A key value is extracted from the key instruction, and a first key value set supported by a non-focus window is acquired. If the key value is in the first key value set, the key instruction is responded to by the non-focus window, and associated media data is acquired according to a key duration of the key instruction, so that the associated media data is displayed by the non-focus window. If the key value is not in the first key value set, the key instruction is responded to by the focus window. The method can perform key distribution between the focus window and the non-focus window based on the first key value set, and can improve the problem that some keys cannot be responded to. Different associated media data can be acquired according to different key durations, the recommended media style and the user interaction mode are enriched, and the user interaction experience is improved.

The invention discloses an ecological environment monitoring data abnormal value automatic identification and restoration method and system, and relates to the technical field of ecological environment monitoring. According to the method, the deep learning model of the deep fusion long and short-term memory network, the adaptive attention mechanism and the adversarial training strategy is constructed, the abnormal values are efficiently and accurately identified from massive complex data, the generative adversarial network is adopted to construct the repair model, the internal rules of environmental elements are extracted from the surrounding data of the abnormal value confirmation set, and the abnormal value confirmation set is obtained. According to the method, an optimized value set is generated, scientificity and consistency of repaired data are ensured through statistical analysis verification and smooth processing, the problems that a traditional repairing method lacks scientific basis and new errors are easily introduced are solved, and integrity and accuracy of the repaired data are verified through a data quality evaluation module. And the data distribution model is utilized to perform consistency check and fine adjustment on the repair value, so that self-adaptive optimization of the system is realized, and the performance and the stability of the system are improved.

A method for information display based on a large model, a device, and a medium are provided. The method includes: in response to receiving a query question, performing matching between the query question and a field value set of a target data table corresponding to the query question to obtain at least one target field value group, where the target field value group includes target field values semantically associated with each other, and the target field values are configured to reduce a semantic deviation in the large model's understanding of the query question; invoking the large model according to a prompt information to generate a target query statement, where the prompt information is obtained based on the query question, the at least one target field value group, and a description information of the target data table; and displaying a query result obtained by executing the target query statement.

The invention relates to the technical field of business data processing, and provides a business management method and system for enterprise management software. The method comprises the following steps: obtaining a service feature-service processing logic relationship according to service feature data and service processing information; constructing an enterprise software business processing strategy database based on the business feature-business processing logic relationship; performing feature point marking on the to-be-processed service information to obtain a service feature value set; performing similarity analysis on the business characteristic value set and an enterprise software business processing strategy database by adopting a similarity algorithm, and outputting a target software business processing strategy; and performing service processing on the to-be-processed service information based on the target software service processing strategy to obtain service processing feedback data, and performing service optimization management based on the service processing feedback data. By adopting the method, the technical effects of improving the business processing intelligence and pertinence of the enterprise management software, improving the business processing accuracy and further improving the business management efficiency can be achieved.