55 results about "Instruction step" patented technology

The invention discloses a method for realizing element positioning in an RPA system, which comprises the following steps of: 1, obtaining an original request input by a user and a current webpage of the user, and obtaining a view relation graph by utilizing the webpage; 2, recognizing similar elements according to the view relation graph; splitting the original request into a condition judgment instruction or a loop execution instruction; step 3, acquiring element coordinates for the loop execution instruction based on the view relation graph; step 4, disassembling the condition judgment instruction into an element query; then recalling visible elements to be recognized in the similar elements; and step 5, for the visible elements to be identified, acquiring element coordinates by using the view relation graph or the multi-modal large model. According to the invention, element positioning can be rapidly realized in the RPA working process, and the misjudgment condition is reduced at the same time.

The invention discloses a computer console instruction generation and execution method, system and device and a medium, and relates to the field of computer system control, and the method comprises the steps: collecting a current system state and user information; the user information comprises user permission and user historical operation; receiving a natural language input by a user, determining a structured intention corresponding to the natural language based on user information and an intention understanding model, and generating console instructions corresponding to the structured intention according to a current system state and an instruction generation model; performing multi-dimensional risk assessment on each console instruction by using the risk assessment model, and judging whether to perform risk prompt or not according to a corresponding risk assessment result; the multi-dimensional risk assessment comprises influence range assessment, data security assessment and system stability assessment; and executing the console instruction step by step, and performing corresponding operation according to the execution state of the console instruction. Therefore, the console operation efficiency of a non-professional user is improved, and the operation safety is guaranteed.

To provide an information processing system, etc. capable of achieving both facilitation of text creation and improvement in quality of the text.SOLUTION: There is provided an information processing system with a processor. The information processing system causes the processor to execute: a selection display step of displaying a selection screen for receiving selection operation of a type of an application document on a first user terminal; an instruction step of instructing artificial intelligence with a text creation function to create a text of the application document of the type selected by the selection operation; an edit display step of displaying the application document created by the instruction on the first user terminal in an editable manner; and a correction display step of displaying a request for correction of the application document edited in the first user terminal on a second user terminal of a corrector who is familiar with the type of the selected application document.SELECTED DRAWING: Figure 1

The invention relates to a test system based on a multi-modal knowledge base, belongs to the technical field of software testing, and solves the problems of insufficient reuse of historical project data and expert knowledge, lack of professional domain knowledge, illusion, low test case adoption rate and low practicability. The system comprises a knowledge base construction module used for constructing a hierarchical multi-mode professional field knowledge base; the preprocessing module is used for forming a standardized project development document and a software source code file of a to-be-tested project; the test case generation module is used for generating a test case and a software test description thereof based on the multi-modal professional domain knowledge base, the project development document of the project to be tested and the software source code file; and the test execution module prepares execution conditions according to the test case and the software test description thereof, and then executes the software test steps in sequence according to the input and operation description steps described by the test process to obtain an execution result of the test case. And knowledge-based and deep structured multiplexing of test assets is realized, and the test quality and efficiency are improved.

To provide an information processing system, etc. capable of achieving both facilitation of text creation and improvement in quality of the text.SOLUTION: There is provided an information processing system with a processor. The information processing system causes the processor to execute: a selection display step of displaying a selection screen for receiving selection operation of a type of an application document on a first user terminal; an instruction step of instructing artificial intelligence with a text creation function to create a text of the application document of the type selected by the selection operation; an edit display step of displaying the application document created by the instruction on the first user terminal in an editable manner; and a correction display step of displaying a request for correction of the application document edited in the first user terminal on a second user terminal of a corrector who is familiar with the type of the selected application document.SELECTED DRAWING: Figure 1

The invention discloses a lightweight three-dimensional assembly instruction generation method for a complex product, and the method specifically comprises the steps: 1, constructing a position-attitude matrix of a part, enabling the moving process of the part to form an assembly path corresponding to the part, enabling the assembly path to be dispersed into a plurality of points, enabling each point to be mapped to a key frame, and enabling the key frame to be a key frame; calculating motion resources of the current key frame and the previous key frame, associating the motion resources to the current frame, and recording a timestamp of the current frame; 2, generating a simulation control instruction; 3, establishing a model hierarchical management structure which comprises an entity layer, an annotation layer and an application layer, and associating the annotation layer with the assembly process; and step 4, integrating the assembly path, the annotation layer display logic and the simulation control script, and generating a lightweight three-dimensional assembly guidance file. According to the invention, the efficiency and quality of the assembly process can be obviously improved, and the high-standard requirement of the modern manufacturing industry is met.

The invention provides a dependency instruction screening method and device and a medium, and relates to the technical field of computers, the method comprises the following steps: step 1, averagely splitting a test instruction set of a target chip into two parts of instructions; step 2, storing one part of instructions in the two parts of instructions into an instruction group, and judging whether the instructions of the instruction group influence a target instruction or not; step 3, if not, emptying the instruction group, storing the other part of instructions in the two parts of instructions into the instruction group, and judging whether the instructions of the instruction group influence the target instruction or not; 4, if yes, judging whether the number of instructions of the instruction group is 1 or not; step 5, if the number of the instructions is not 1, splitting the instructions of the instruction group into two parts of instructions, emptying the instruction group, and returning to the step 2; and 6, if the number of the instructions is 1, determining the instructions of the instruction group as dependent instructions of the target instruction. According to the splitting and screening method based on the dichotomy, the screening efficiency of the dependency instruction can be improved.

The invention discloses an application automation operation method and system based on a large language model, and belongs to the technical field of network security, and the method comprises the following steps: 1, receiving the content input by a user; 2, performing control adjustment on task circulation; step 3, collecting and processing an application page state, and outputting multi-modal data; 4, multi-modal input is constructed, and an operation instruction is generated; 5, executing an operation sequence according to the operation instruction generated in the step 4, and recording an operation process; 6, converting the operation instruction generated in the step 4 into an underlying equipment command; 7, after task circulation is finished, a judgment intelligent processing unit module is constructed, global analysis is conducted based on the complete execution history and the user instruction in the process of the step 5, and the completion condition of automatic operation in the step 5 is obtained; the technical problems that in the prior art, the workload is high, and ambiguity is prone to occurring in recognition are solved.

The invention discloses a back-end verification method for an integrated circuit based on LLM-Agent. The method comprises the following steps: step 1, setting a proxy rule; 2, configuring a back-end verification tool; 3, enabling the LLM to learn an operation guide and a rule document; step 4, acquiring user input, extracting required parameters, and generating a command line instruction required by a calling tool; and 5, performing task planning on the large language model LLM, and calling a tool to realize back-end verification. According to the method, the user can use the back-end verification tool more intelligently, the learning cost of the user is reduced, meanwhile, the intelligent decision of the large language model LLM also enables the user to cope with a complex back-end verification task better, and the completion quality of the task is improved.

The invention discloses a GIS software interaction implementation method and system based on a large language model. The method comprises the steps that S1, a GIS task demand text input by a user is obtained; s2, on the basis of a large language model, performing text preprocessing on the required text, performing intention classification and parameter extraction on the preprocessed text, and converting the extracted intention and parameters into an operation instruction which can be executed by GIS software; and S3, the obtained operation instruction is sent to GIS software to be executed, and an execution result of the GIS software is obtained and fed back to a user. According to the method, the user is helped to complete GIS related operation in a natural language interaction mode, the user does not need to have a deep technical background, and the use difficulty of GIS software is remarkably reduced.

The invention discloses a cross-ISA mapping method for a unified atomic electricity calculation semantic layer, and relates to the field of electricity calculation fusion index measurement, and the method comprises the steps: 1, obtaining an instruction sequence of a to-be-evaluated or to-be-analyzed application on a target ISA; 2, according to a predefined UACES abstract instruction set, translating each instruction of the target ISA into one or more UACES atomic instructions according to an instruction set conversion translation rule; 3, performing bit width normalization metering on the obtained UACES atomic instruction according to a bit width scaling rule to obtain arithmetic, logic, memory access and control flow indexes based on 64 bits; and step 4, aggregating and analyzing normalized UACES instruction statistical results for scenes between different ISA, and providing a unified representation and measurement basis for semantic alignment and statistics in cross-ISA performance evaluation and reference comparison and instruction coding optimization.

The present invention relates to an online visual interaction system and method based on electronic products, and solves the technical problem that the interaction instructions and interaction results are presented separately and the interaction data cannot be processed efficiently and accurately. By adopting an interaction instruction input unit, an interaction instruction processing and running unit, and an interaction output unit capable of outputting visual signals; the interaction instruction processing and running unit executes the following steps: step s1, receiving interaction instructions and parsing the interaction instructions; step s2, calling a program for controlling the electronic product to run according to the interaction instructions to obtain a program feedback scenario; step s3, fusing the interaction instruction scenario and the program feedback scenario into a feedback chain virtual scenario, and the feedback chain virtual scenario can simultaneously represent the interaction instructions and the operation feedback results of the electronic product; step s4, outputting the feedback chain virtual scenario after virtual fusion. The technical solution preferably solves this problem and can be used for online visual interaction of electronic products.

The invention discloses a method and a device for realizing quasi-real-time and quasi-incremental scheduling control by using big data ETL (Extract Transform and Load), and the method comprises the following steps: 1, carrying out task starting control by adopting automatic starting or manual starting, and outputting starting parameters; 2, performing asynchronous execution control on sub-theme tasks with inconsistent subordinate scheduling periods based on the starting parameters, and sending a sub-theme task execution instruction; 3, when a sub-theme task execution instruction is received, execution of each task in the sequence is controlled, and a table task execution task instruction is sent; 4, after a table task execution instruction is received, task execution is started according to the received input parameters; and step 5, monitoring the execution process of the task, recording execution steps and states, and meanwhile, giving an alarm for an abnormal execution condition. According to the method, the problem that high-frequency scheduling is difficult to control during quasi-real-time and quasi-incremental calculation of big data ETL is solved.

This invention relates to the field of hot patching technology, specifically a kernel hot patching method based on the MIPS architecture. The method replaces a patch function in the code segment of the function being patched, and includes the following steps: Step S1: Create a hot-fix environment for the function being patched; Step S2: Based on the hot-fix environment, construct a replacement jump instruction for the function being patched under the MIPS architecture based on the patch function; Step S3: Modify the permissions of the function being patched to write permissions, so that the replacement jump instruction can be written into the function being patched; Step S4: Write the replacement jump instruction into the function being patched. This invention enables the MIPS architecture to fulfill kernel hot patching functionality even when GCC dependencies or architecture dependencies are missing, while also possessing advantages such as high reliability, fast repair speed, and traceability.

The invention relates to a manually-adjusted high-power broadband attenuation control device and method. A first adjusting unit provides discrete gears corresponding to different first attenuation values, and a second adjusting unit provides discrete gears corresponding to different second attenuation values. The processing module determines an attenuation value according to input information of the first adjusting unit and the second adjusting unit, calculates a target attenuation value, converts the target attenuation value into a 6-bit parallel binary control code, and outputs the 6-bit parallel binary control code to the program control attenuation module through a parallel interface. And each bit of the control code corresponds to a weighted attenuation bit, so that independent start and stop of the attenuation unit are realized. The method comprises the steps of detecting a pin level, determining an attenuation value, calculating a target value, generating a control code and outputting an instruction. And when the target attenuation value exceeds 63dB, forcibly outputting a maximum attenuation instruction. According to the scheme, the operation process is simplified through a two-stage adjustment framework, the response speed is improved through parallel direct drive control, the full-band signal attenuation stability is guaranteed through the metal shielding shell integrated design, and the high-power test device is suitable for a high-power test scene of the frequency band of 0.5-40 GHz.

The application discloses a flow and position variable motor control IP core and a motor control system, and the IP core comprises: an instruction analysis module which analyzes data injection instructions to obtain a flow type, and triggers a large flow disassembly module or a small flow parameter reading module; the large flow disassembly module sends a plurality of disassembled small flow instruction codes to the instruction analysis module; the small flow parameter reading module reads motor action parameters from a flow parameter table and a position parameter table; the small flow disassembly module disassembles the motor action parameters into motor action instructions, and generates corresponding small flow completion or fault flags by a motor to position or fault flag; a motor drive gating module outputs motor instruction step numbers and target positions to corresponding motor drive modules according to the motor type of a current step, and obtains a to position or fault signal; and the motor drive module generates a drive signal to a motor drive chip, obtains position information of a motor position acquisition chip, and judges whether the motor is to position or fault.

This information processing method includes: a step (S13) for acquiring output quantity information indicating the quantity of power that has been generated by power generation equipment possessed by a consumer and outputted from the consumer to a system; a first recording step (S14) for recording the quantity of power indicated by the acquired output quantity information, in association with identification information for the consumer; and a first instruction step (S15) for instructing first equipment possessed by another consumer or a business operator to charge with or consume a quantity of power supplied from the system, said quantity being the quantity indicated by the output quantity information.

The invention discloses an intelligent body structure for realizing man-machine conversation based on a large model, and the intelligent body structure comprises an intelligent body structure body which can autonomously move and operate outside; and the large language model is deployed on a central processing unit in the body structure and is used for understanding a user language instruction and driving the body structure to act. The large language model understanding instruction comprises the steps that a user sends out an instruction through voice, the instruction is converted into a text instruction after being collected and preprocessed through a voice recognition microphone array, a central processing unit inputs the text instruction into the large language model, the model conducts semantic understanding and intention recognition and generates a decision instruction, and the central processing unit drives the body structure to act in sequence. The method has the beneficial effects that efficient man-machine conversation based on a large model is realized, the intelligent agent with the body can autonomously move and operate, and the man-machine interaction experience and the working efficiency of the intelligent agent are improved.

In some examples, an augmented reality (AR) server receives instructional data to be rendered in AR. The AR rendering server extracts multiple instruction steps from the instructional data and determines multiple spatial identifiers associated with the multiple instruction steps respectively. The multiple spatial identifiers correspond to multiple spatial objects in a real-world environment. The AR rendering server then generates AR rendering data for displaying the multiple instruction steps on an AR device at selected locations associated with the multiple spatial objects in the real-world environment. The AR rendering data is then transmitted to the AR device.

Increase the amount of content on social media and revitalize it. [Solution] A content generation device 1 that generates generated content to be published on an SNS, comprising a processor, in which, in a post acceptance step, the processor displays an input screen that accepts input of posted content to be posted on the SNS, in a content setting step, the processor accepts specification of generation conditions for the generated content, including at least the data form of the generated content, in a generation instruction step, the processor issues a generation instruction to an artificial intelligence to generate generated content in accordance with the generation conditions based on the posted content, and in a display step, the generated content output by the artificial intelligence is displayed, and the artificial intelligence has a trained model that takes at least the posted content as input and generates the generated content as output.

[Problem] To allow a user to easily understand information about an RPA scenario. [Solution] When a check / comment instruction (instruction for natural language output) for a scenario Sm (automation scenario) is received from a user (step S201), an improvement scenario Smr output from an LLM 12 according to the check / comment instruction is displayed on an improvement scenario display part 85, and a text (natural language output) indicating an improvement point of the improvement scenario Smr is displayed on an improvement point explanation display part 84. Therefore, the user can easily understand the information about the scenario Sm of the RPA by confirming the displayed text (natural language output).

The invention relates to the technical field of vulnerability testing, in particular to an undisclosed vulnerability test early warning method and system based on AI, an intelligent terminal and a storage medium, and the method comprises the following steps: S1, performing to-be-tested function division on to-be-tested software, and matching test instruction sets of different to-be-tested functions in a preset test database; s2, sorting based on the detection result weight values of the test instruction sets to determine test instruction set sorting with vulnerability test reliability from high to low; s3, indicating a preset AI test network model to test a to-be-tested function of the software based on the test instruction set sequence, and marking the instruction set with vulnerabilities in a test result to determine a vulnerability execution instruction; and S4, generating a vulnerability log according to the vulnerability execution instruction and sending out an optimization early warning prompt. The method and the device have the effect of improving the detection of the position vulnerability of the software position so as to facilitate the software optimization early warning.

To make information about RPA scenarios easily understandable to users. [Solution] When a user provides a check / comment instruction (natural language output instruction) for a scenario Sm (automation scenario) (step S201), the improved scenario Smr output from the LLM12 in response to the check / comment instruction is displayed on the improved scenario display unit 85, and text (natural language output) indicating the improvements of the improved scenario Smr is displayed on the improvement point explanation display unit 84. Therefore, the user can easily understand information about the RPA scenario Sm by checking the displayed text (natural language output).

A dual-direction synchronous loading method for a true-triaxial test apparatus includes the following steps: Step S1, loading a sample and adjusting the sample at a center of a sample box and a rigid loading frame; Step S2, setting parameters and sending action instructions through a computer control panel; and Step S3, collecting load signals collected by each sensor acquired by a PID controller, and coordinating a size of triaxial dual-direction loading loads to realize a single instruction dual-direction synchronous loading. The method ensures that a rock sample is kept at a center of a pressure chamber before being loaded, so that a focus of a loading axis is always at a same position as a center of the sample in space, and the function of synchronous loading of two loading actuators in the same direction under a single instruction can be achieved.

The invention relates to the field of automatic power generation control, and discloses an AGC instruction step size grabbing method, which comprises the following steps: dispatching and sending an AGC instruction, transmitting the AGC instruction to a DCS (Distributed Control System) of a power plant through an RTU (Remote Terminal Unit), carrying out auxiliary frequency modulation control on part of the power plant by adopting a PLC (Programmable Logic Controller) plug-in system, and realizing data interaction between part of the DCS and a PLC through an interface machine; and recording the AGC instruction value # imgabs0 # corresponding to each sampling time point (tn) so as to determine the starting and ending time of the AGC instruction. According to the invention, the starting and ending time of the AGC instruction can be automatically positioned, scheduled and sent, the step length of the AGC instruction can be intelligently grabbed, manual intervention is not needed, a time monitoring window delta t and a monitoring load instruction delta P can be flexibly adjusted, a monitoring value can be set according to the actual transmission condition of the AGC instruction of a unit and equipment, and the AGC instruction data transmission link abnormity alarm is realized. According to the delay characteristic of the unit AGC instruction, a proper alarm threshold can be selected, the plug-in can be quitted in time, and the difficulty in tracking and adjusting the unit load is avoided.

This information processing method includes: a step (S13) for acquiring, from an information terminal (30) used by a consumer, a request for using a charging facility (38) installed at a location different from a facility where a clean power source owned or managed by the consumer is installed, the request including information related to an amount of charge; and instruction steps (S14, S16) for instructing, on the basis of the acquired request, the clean power source to output to the power grid, the amount of power corresponding to the amount of charge, and instructing the charging facility (38) to charge a storage battery used by the consumer A by the amount corresponding to the amount of charge.

The avatar can act in accordance with the situation of the screen.SOLUTION: An information processing method according to an embodiment includes a determination step of monitoring a screen using a first learning model and determining a change in the screen, a decision step of deciding a motion of an avatar using a second learning model according to the change in the screen determined in the determination step, and an instruction step of instructing the avatar to perform the motion decided in the decision step.SELECTED DRAWING: Figure 6

The invention relates to a fault degradation processing method based on intelligent driving. The method comprises the steps that 1, whether a bottom fault exists or not is judged; 2, judging whether each underlying fault affects each function of the vehicle or not, and generating a multi-bit binary function code according to a judgment result; step 3, generating a multi-bit binary fault code; step 4, judging whether the current fault affects one or more functions of the vehicle or not, if so, turning to step 5; step 5, acquiring a control instruction matched with the bit and the calculation result; and step 6, the vehicle carries out automatic processing according to the control instruction or sends an alarm signal so as to carry out manual processing. According to the technical scheme, the technical problems that the influence of different faults on different functions cannot be distinguished, the development efficiency is low, and the chip computing power is greatly occupied in the prior art are solved.

The present invention discloses a walking control method for a lawn mowing robot, which includes the following steps: Step 1: Start the machine. When the machine receives the first instruction, it executes the first predetermined action and then executes the first instruction. Step 2: When the machine receives a new instruction after receiving the first instruction, it determines whether the new instruction is a reverse instruction or a non-reverse instruction. When the new instruction is a reverse instruction, the machine enters Step 3. When the new instruction is a non-reverse instruction, the machine directly executes the new instruction. When the direction of the new instruction is opposite to that of the first instruction, the new instruction is a reverse instruction; otherwise, it is a non-reverse instruction. Step 3: The machine first executes the second predetermined action and then executes the new instruction. The second predetermined action has the same direction as the first predetermined action. The present invention can control the rotation direction when the universal wheel makes a 180-degree turn, that is, it can reduce the risk of grass entanglement.