196 results about "Subroutine" patented technology

The invention discloses a dynamic interactive prompt sequence control method for chemical production, and relates to the field of flow industrial processes. Based on a state transition rule of a Phase functional block, linear execution and conditional jump of sequential control steps in a polymerization reaction temperature step control scene are realized through SFC programming, interactive processing and SFC logic steps are bound, and an interactive dialog box is triggered in a unified manner through an operation guide window. And the main program and the subprogram realize abnormal state linkage through an FAILIDX mark, and automatically detect a fault clearing state when the abnormity is recovered. The interactive processing dynamically generates an option list, supports multi-language switching, verifies input values in real time, and provides historical suggested values. The method aims at solving the problems that in a traditional sequence control system, the coupling degree of interaction logic and a core control program is high, operation interfaces are not uniform, and the misoperation risk is high, transplanting of cross-control systems and cross-process packages is supported, and the secondary development cost is remarkably reduced.

The invention provides a storage type XSS attack detection method and device based on a large language model, and the method comprises the steps: receiving an initial cue word, inputting the initial cue word into a cue word expander, carrying out the extension of the initial cue word, carrying out the performance evaluation to screen out a cue word meeting a preset performance index, carrying out the multi-round extension and evaluation, and obtaining a detection result. Until the optimized cue word is obtained; the method comprises the following steps: receiving a to-be-detected code, generating a program dependency graph of the to-be-detected code, decomposing the program dependency graph of the to-be-detected code into a plurality of sub-graphs with consistent program structures to obtain a plurality of sub-program dependency graphs, traversing nodes in each sub-program dependency graph, and reserving an original structure of a program; the nodes are sequentially converted into an original code format to obtain code representation fragments, the code representation fragments and the optimized cue words are input into a large language model to judge whether each code fragment is an attack vector of a storage type XSS or not, and a final speculation result is obtained. The method has the advantages of low detection cost, high accuracy and high efficiency.

The invention provides an automatic calling method for a welding parameter subprogram based on a three-dimensional model. The automatic calling method comprises the following steps: (1) establishing a welding process parameter library comprising a welding process parameter table and a process parameter matching rule table; (2) on the basis of the established three-dimensional model, identifying structural parameters among the parts, and generating corresponding welding seams; (3) in the established three-dimensional model, performing three-dimensional marking on the generated welding seam to obtain a welding seam section code; the information of the three-dimensional label is process parameter information including the size of a weld fillet, the arrangement of weld layer channels and the welding position; (4) taking the obtained weld joint section code as an initial condition value, obtaining corresponding welding process parameters from a welding process parameter library, and realizing automatic calling of the welding parameters; and aiming at the obtained welding process parameters, under the world coordinate system of the welding robot, according to the vector decomposition of the Y axis in the defined offset coordinate system in the Z direction under the world coordinate system, the A direction and the B direction of the welding parameter subprogram are automatically judged.

The present invention relates to a fusion computing method and system combining cloud platform high-performance computing power and quantum computing power, and belongs to the technical field of quantum computing. The method comprises: submitting a quantum program in a quantum virtual machine by means of a classical computer interface; carrying out initial classical-quantum task splitting by means of a compiler, so as to generate a plurality of computing subtasks; inserting communication primitives before the computing subtasks requiring remote invocation, and by means of the communication primitives, distributing corresponding quantum computing subtasks to a quantum computing backend and distributing corresponding classical computing subtasks to a high-performance computing power cluster; locally executing part of the classical computing subtasks, and remotely invoking, by means of RoCE communication, the classical computing subtasks requiring to be completed by the high-performance computing power cluster and the quantum computing subtasks requiring to be completed by the quantum computing backend; and by means of a resource scheduler, receiving the classical computing subtasks completed by the high-performance computing power cluster and the quantum computing subtasks completed by the quantum computing backend.

This invention discloses a method and system for numerically defining a rebar-concrete interface element under both monotonic and cyclic loading, comprising: first, establishing a finite element model of reinforced concrete component, and generating a solver input file within the finite element software; then, adding a series of user-defined interface elements in the solver input file; then, inputting parameters of characteristic points of the axial bond-slip curve between rebar and concrete, the diameter of rebar, and the characteristic parameters of fibers associated with the user-defined element (UEL) in the solver input file; then, setting the element stiffness matrix, the coordinate transformation matrix and residual in the UEL subroutine; finally, submitting the solver input file in the finite element software, and calling the UEL subroutine for calculation.

The embodiment of the invention provides a large language model optimization method based on variance reduction and momentum acceleration. The method comprises the following steps: a gradient estimation stage of a large language model: initializing a seed list and a projection list; executing multiple independent query iterations, calling a disturbance subprogram, generating a random seed for the large language model, and storing a table; in the disturbance subprogram, the determined gradient projection value is stored in a projection list, and iteration is carried out for next query; after executing multiple independent query iterations, storing a plurality of random seeds and a plurality of gradient projection values corresponding to the random seeds; in the weight updating stage of the large language model, a gradient norm subprogram is called for each layer of the large language model, and a random seed is obtained to reset a random number generator; and determining variance-reduced gradient estimation according to the gradient projection value extracted from the projection list and the reproduced disturbance vector. According to the embodiment of the invention, gradient information queried for multiple times is aggregated to generate low-noise gradient estimation, and fine tuning of a large language model is completed.

The invention provides a PLC integrated digital twinning control enhancement system and method, and relates to the technical field of cloud PLC control, a PLC integrated development environment module comprises an instruction set generation unit, a digital twinning function plug-in library and a PLC compiler unit which are connected in sequence, the instruction set generation unit comprises an FB library, a PLC control instruction generation unit, a control instruction mapping form and a server intermediate variable set which are connected in sequence; the PLC operating environment module comprises a protocol processing unit, a PLC main control logic unit and a server driving program which are connected in sequence, the PLC main control logic unit comprises a DT decision triggering subunit, and the server driving program comprises a strategy control subprogram and a virtual control instruction sending subprogram; the DT decision triggering subunit is connected with the server driving program; and the PLC virtual space module comprises a client driving unit, a virtual IO management unit and a data analysis unit which are connected with one another.

The invention provides a test program generation method, electronic equipment and a storage medium, relates to the field of chips, and is mainly technically characterized by comprising the following steps: generating a plurality of subprograms corresponding to each module in at least two modules according to instruction characteristics of the at least two modules in a target processor; wherein each subprogram comprises dependency information with other subprograms, each subprogram comprises a plurality of instruction fragments, each instruction fragment comprises at least one instruction, and the dependency information of the subprogram is used for indicating whether the instruction fragment in the subprogram conflicts with the instruction fragments in other subprograms or not; the to-be-used instruction fragments are continuously selected until a preset ending condition is met, and the next to-be-used instruction fragment in every two adjacent to-be-used instruction fragments is the to-be-used instruction fragment which is sequentially selected from any subprogram of any module and does not conflict with the previous to-be-used instruction fragment; and obtaining a target test program according to a selection result of the to-be-used instruction fragment.

Various systems and methods are presented regarding generating executable computer code / instructions from input files, whereby the input files may be an image file (e.g., JPEG, PDF, etc.). The image file can be digital capture of a sequence of instructions such as a graphical representation comprising a ladder diagram, a function block diagram, a sequential function chart, etc. P&ID and suchlike can also be submitted to the system. Code generated from the input files can be enhanced by application of historical data comprising pertinent subroutines, and suchlike. Further, an entity can be prompted to provide further information in the event of the input file does not provide all of the content.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an output sequence from an input sequence. In one aspect, one of the systems includes one or more subroutine neural networks each comprising: an encoder neural network configured to receive an encoder network input comprising i) a subroutine input sequence of the subroutine neural network and ii) an input mask that masks one or more subroutine input elements of the subroutine input sequence and to generate an encoded representation of the encoder network input; a decoder neural network configured to receive the encoded representation and to generate the subroutine network output; and a masking neural network configured to generate an output mask, wherein the output mask will be used as the input mask of the encoder neural network at a subsequence time step of the plurality of time steps.

The invention provides an automatic testing method, device and platform for equipment load function performance, and relates to the technical field of software testing. According to the invention, through setting the plurality of subprogram packages in the process of testing the load function performance of the equipment, automatic programming is carried out according to the equipment type, the load type and the function type, the modularized combination generation of the test item, the test program and the subprogram is realized, the professional threshold is reduced, and the generation speed of the test program is improved. Furthermore, in combination with the task queue of the test accompanying instrument, path optimization is carried out on the test process, the test sequence of a plurality of test items is optimized, and the waiting time is shortened. Finally, based on the testing process and the testing program, automatic testing is achieved, the problem that the testing efficiency is low in the equipment load function performance testing process is solved, and the testing efficiency of the equipment load function performance testing is improved.

Disclosed are methods, systems and non-transitory computer readable memory for generating objects in low-code or no-code software process execution environments. For instance, a method may include: receive a request to initiate an object templating subroutine; obtain a seed file, the seed file containing seed data relating to an object to be generated; and transmit the seed file to a user environment. The user environment may be configured to: perform validation and / or update actions to the seed data; and transmit the validated and / or updated seed data with a request to initiate an object generation subroutine. The method may further include, in response to receiving the validated and / or updated seed data and the request to initiate the object generation subroutine, generate the object by performing one or both of: (i) generating a new object; and (ii) modifying an existing object.

In a general aspect, hardware-efficient encoding schemes for optimization problems are presented. In some cases, a quantum computing method includes associating subsets of qubits including data qubits and label qubits with clusters of variables in an optimization problem; and mapping the variables in each cluster to the data qubits associated with the cluster, such that multiple variables are mapped to each of the data qubits. During mapping basis states of the label qubits associated with the cluster are identified; the cluster is divided into groups of variables, each group of variables being associated with a respective one of the basis states; and for each group of variables, each variable in the group is mapped to a respective one of the data qubits associated with the cluster. The method further includes causing a quantum processing unit to execute multiple iterations of a quantum program and generating a solution to the optimization problem based on processed measurements.

The invention belongs to the technical field of vehicle software development, and particularly relates to a method for converting a form file into a graphic program, which is used for converting the form file into the graphic program and comprises the following steps of: reading the form file so as to read text contents and coordinate information of all cells in at least one page of the form file into a corresponding two-dimensional object array, the name of each two-dimensional object array is set as a corresponding page name; analyzing each two-dimensional object array into a flow chart area and an attribute area in sequence according to pages; constructing a graphic program according to an analysis result; and / or converting the graphic program into a table file, including creating table empty pages, the number of the table empty pages being equal to the sum of the number of the main program and the number of the nested subprograms of the graphic program; corresponding table pages are sequentially constructed according to program categories in the graphic program, one page corresponds to the main program, and the other pages correspond to the corresponding nested subprograms; and storing the constructed form file.

Various embodiments of the disclosure provide apparatuses, systems, and computer program products for instruction compilation for execution in a 2D quantum environment. Some embodiments include identifying a set of starting positions corresponding to a set of qubit pairs for a set of qubits, generating a set of target row assignments based at least in part on the set of starting positions, generating a set of target column assignments comprising a target column assignment for each qubit pair in the set of qubit pairs, the set of target column assignments generated by applying a one-dimensional sorting algorithm to each row of the set of target row assignments, and generating at least one movement instruction based at least in part on the first set of swap-or-not operations and the second set of swap-or-not operations.

The invention provides a turning compensation machining method and system and a storage medium, and relates to the technical field of machining. The method comprises the steps that whether a machining program corresponding to a machined part exists or not is judged; if not, a machining program of the machined part is constructed according to the machined part, and then the machined part is machined through the machining program; if yes, the machining part is directly machined through the machining program; the machining part is machined through the machining program, and when the size deviation of the machining part needs to be measured, the machining part is measured according to the measurement subprogram, the measurement point, the measurement sequence and the measurement direction of the machining part when the size deviation is measured, and the size deviation of the machining part is obtained; according to the dimensional deviation, determining a tool compensation value of the machined part; and the machined part is subjected to compensation machining according to the tool compensation value. The machining precision is improved, the machining efficiency is improved for large-scale machining, and the size precision and the machining quality of machined parts are ensured.

The invention provides a turbine disc mistake-proof machining method and device, electronic equipment and a storage medium, and relates to the technical field of automatic control, the method comprises the steps that the target size, the actual size, the material hardness and machining environment parameters of a turbine disc are obtained, and a deviation compensation value is determined according to the target size and the actual size; calling an error-proofing subprogram, preliminarily judging whether the deviation compensation value is abnormal or not according to the static threshold range, and when the deviation compensation value is abnormal, returning to execute the step of determining the deviation compensation value according to the target size and the actual size until a new deviation compensation value is normal; when the deviation compensation value or the new deviation compensation value is normal, determining an initial dynamic threshold range according to the material hardness and the processing environment parameters; and adopting a hybrid neural network model, optimizing the initial dynamic threshold range according to the processing environment parameters, generating a final dynamic threshold range, and secondarily judging whether the deviation compensation value or the new deviation compensation value is abnormal or not. Normal machining can be guaranteed.

The invention relates to a backtracking video generation method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: in response to a trigger operation of a target object for a subprogram, generating and reporting a first record identifier matched with a native page of the subprogram under the condition that the subprogram starts a backtracking function; in response to a first interaction event triggered on the native page, generating and reporting native page record data of the native page; responding to a second interaction event triggered on the webpage linked with the subprogram, and generating and reporting webpage record data of the webpage; and under the condition that a backtracking request carrying the first record identifier is received, generating a target backtracking video for the target object based on the native page record data and the web page record data which are stored in association with the first record identifier. By adopting the method, the accuracy of backtracking video generation can be improved.

The application provides a data processing method, device, equipment, medium and program product. The method comprises the following steps: obtaining a transmission instruction for transmitting subprogram data of a target subprogram of a call application; generating an establishment request of a program data channel in response to the transmission instruction and sending the establishment request to a called terminal through a control data channel, so that the called terminal detects the establishment request; if the establishment confirmation information returned based on the control data channel after the detection is passed, creating the program data channel and transmitting the subprogram data of the target subprogram based on the program data channel, thereby improving the processing efficiency of the application program data and improving the application use experience of the user.

This invention provides a task scheduling method, system, terminal device, and medium for electricity meters. The method includes: determining the type of each application of the target electricity meter; obtaining the total time slice to be allocated to all applications; wherein the application types include system applications, business applications, and container applications, and container applications include subroutines; allocating time to each application based on the total time slice according to the application priority, to obtain a first time slice for each application; allocating time to each subroutine based on the first time slice of the container application according to a preset execution time ratio, to obtain a second time slice for each subroutine; and controlling the central processing unit to execute the tasks and subroutines in each application sequentially according to the allocation results of the first and second time slices. This can improve the task processing efficiency of the electricity meter.

The present application discloses a data processing method, apparatus, device, and readable storage medium, the method comprising: responding to an interactive operation on a subroutine application, generating an interface rendering instruction indicated by the interactive operation; if the rendering framework indicated by the interface rendering instruction is a mobile application development framework, sending the interface rendering instruction to the execution environment of the subroutine application via a first communication interface; in the execution environment, calling a second communication interface based on the interface rendering instruction, calling the mobile application development framework via the second communication interface, and rendering an interactive interface corresponding to the interactive operation based on the mobile application development framework; the second communication interface is a communication interface between a second programming language and a third programming language, and the third programming language is a development language corresponding to the mobile application development framework; and outputting the interactive interface. By adopting the present application, in the rendering business of the subroutine application, the rendering efficiency can be improved while the rendering quality can be improved.

The invention relates to a code generation method and system based on a large language model, and belongs to the technical field of computers. According to the method, dialogue is carried out on the basis of the generated first version code and the large language model to provide more detailed and specific input, so that the large language model generates a corresponding subprogram, and complete code logic is constructed; calling an example code stored in an example code library to further optimize the initial code based on multiple rounds of conversations, and generating a second version of code; and performing comprehensive quality evaluation on the generated second version code based on a preset code quality evaluation standard, automatically generating a repair rule based on an evaluation result, and generating a target code by using the repair rule. According to the method and the device, the repair rule is obtained according to the evaluation result obtained by performing comprehensive quality evaluation on the second-version code, the second-version code is repaired based on the repair, so that the high-quality target code is obtained, and the whole generation process is more intelligent.

The invention relates to the technical field of attack tracing, in particular to an attack tracing method and device based on a symbolic execution engine, and the method comprises the steps: recognizing a plurality of dependent explosion functions of a pre-constructed execution unit sequence, so as to construct an independent subprogram; constructing a system call control flow diagram of a historical event processing cycle by combining static and dynamic analysis; auditing logs containing parameter values are collected in the execution period of the target program so as to construct a thread-level traceability graph; and according to the system call control flow diagram, determining whether a node of dependent explosion exists in the thread-level traceability diagram, if so, reconstructing the independent subprogram by using the node of dependent explosion, and analyzing the reconstructed independent subprogram by using a symbolic execution engine to reconstruct an attack path. Therefore, the problem that a related tracing attack method needs to carry out instrumentation on a system, or depends on static analysis, or depends on an unreliable application log, or needs to use additional auxiliary hardware to realize tracking is solved.

The application provides a kind of evaluation method and system of neural network cost model based on category guidance, it is related to data processing technical field, the feature of the tensor program to be evaluated is extracted from the perspective of syntax tree, and the tensor program feature is obtained;Tensor program features are processed by dimension reduction and clustering, to obtain the probability that the tensor program feature belongs to different categories;The feature of the tensor program to be evaluated is extracted from the perspective of scheduling primitive, to obtain intermediate features;Based on the probability that the tensor program feature belongs to different categories and the intermediate features, the performance score of the tensor program to be evaluated is obtained.From the perspective of syntax tree, extracting the features of the tensor program and extracting the features from the scheduling primitive can effectively utilize the complex relationship between subprograms, reduce the time of the AI compiler automatic tuning process, so that the neural network model can be deployed on the ground, and only needs less tuning time under the same tuning performance condition, improves the efficiency.

The invention discloses an industrial high-temperature hot water heat pump control program architecture design method which is characterized in that a host and a plurality of slaves communicating with the host are included, each of the host and the slaves comprises a plurality of sub-modules, the host builds a main program and a sub-program, after the host program is built, the slaves copy the program architecture of the host, and the program architecture of the slave copies the program architecture of the host. The host computer and the slave computer are in linkage communication to complete multi-computer interconnection; the main program executes a state instruction, adjusts equipment actions, calls different sub-programs and different functional blocks under the sub-programs to complete setting of the number, start-stop and running time of the sub-modules, and is matched and suitable for corresponding industrial scenes; the method has the advantages of small workload and high production efficiency.

The invention discloses a deep learning library API fuzzy testing method based on semantic analysis, and belongs to the field of reliability testing of deep learning systems. The method comprises the following steps of: 1, analyzing an input check logic by using a large language model, extracting an edge condition and forming a structured expression; 2, converting the edge conditions into formalized logic predicates, performing semantic embedding and vectorization processing, and selecting representative conditions to form a variation condition set; 3, generating an executable test program, and automatically repairing a non-running program to form an executable seed program; and 4, generating diversified test input, running at the rear ends of the CPU and the GPU respectively, and identifying potential implementation defects of the deep learning framework by detecting collapse behaviors, running exceptions and cross-device output inconsistency. According to the method, the boundary condition coverage capability can be effectively improved, and the defect detection efficiency of the deep learning library API is improved.

The present invention discloses a method, device, storage medium, and processor for determining processing time. The method includes: obtaining operation information of a preset program at preset time intervals, wherein the preset program is used to control processing equipment to process a target workpiece, the target workpiece being the workpiece for which processing time is to be calculated, and the preset program includes: multiple preset subroutines, the preset subroutines including a first preset subroutine and a second preset subroutine, the first preset subroutine being used to indicate the start of the preset program, and the second preset subroutine being used to indicate the end of the preset program, and the operation information including: an acquisition time and a program identifier; identifying a first acquisition time corresponding to the first program identifier of the first preset subroutine based on the operation information; identifying a second acquisition time corresponding to the second program identifier of the second preset subroutine based on the operation information; and determining the processing time of the target workpiece based on the first acquisition time and the second acquisition time. This method solves the technical problem of the prior art in being unable to determine processing time.

The present invention discloses an apparatus and a method of operating the same. A call stack is maintained that includes subroutine information associated with subroutines that have been called during a data processing operation and have not yet returned. A stack pointer indicates an end of the call stack associated with the most recently called subroutine that has been called during the data processing operation and has not yet returned. The call stack sampling can be performed with reference to the stack pointer. A wave flag pointer is maintained that indicates a value that the stack pointer had when the processing circuitry last completed the call stack sampling procedure. The call stack sampling procedure includes retrieving subroutine information indicated between a value of the wave flag pointer and a current value of the stack pointer from the call stack. Thereby, more efficient call stack sampling is supported because only modifications to the call stack need to be sampled.

To provide a game machine capable of effectively saving a use capacity regarding a specific program storage area of a main ROM.SOLUTION: In a program stored in a program area within a use area of a main ROM, an instruction size can be reduced when essentially calling a sub-program at addresses at and subsequent to a specific address by intermediating a jump instruction in consideration of a situation in which the instruction size becomes large when an instruction (for example, CALLEX) when calling a sub-program stored in a program area outside the use area calls the sub-program at addresses at and subsequent to the specific address in the program area outside the use area of the main ROM.SELECTED DRAWING: Figure 193