267 results about "Instruction code" patented technology

A craft comprises at least one hull, a main wing coupled to the hull and configured to facilitate airborne operations of the craft, a plurality of propellers that include one or more electric motor propellers and one or more combustion motor propellers arranged along each of a port side and a starboard side of the main wing and configured to generate lift on the craft by blowing air over the main wing, and a control system. The control system comprises data storage having instruction code stored thereon that, when executed by one or more processors of the control system, causes the control system to: after receiving a takeoff indication, increase thrust generated by the electric motor propellers to cause the craft to transition from a hull-borne mode of operation to an airborne mode of operation, and after a thrust adjustment condition occurs, increase thrust generated by the combustion motor propellers.

The embodiment of the invention provides a binary translation method, a binary translator, electronic equipment and a readable storage medium, and the method comprises the steps: calling a preset instruction if a current instruction is recognized as an indirect jump instruction; the instruction code of the preset instruction comprises a first operand and a second operand; the first operand points to the first register, and the second operand points to the second register; the target PC value is stored in the first register; the second register is used for storing a calculation result of the preset instruction; the preset instruction executes preset calculation logic to calculate a target index value corresponding to the target PC value in the hash table, and the target index value is written into a second register; the target index value is read from the second register, whether the target PC value hits the hash table or not is inquired through the target index value, and the next instruction is executed based on the inquiry result. According to the embodiment of the invention, the instruction translation number of the high-frequency instruction can be reduced, and the execution efficiency of the binary translator is improved.

The embodiment of the invention provides an instruction processing method and device, a storage medium and an electronic device.The method comprises the steps that a first type of to-be-processed instructions are determined from multiple to-be-processed instructions according to preset instruction codes, and a first vector parameter is updated into a second vector parameter in an updating mode corresponding to the first type of to-be-processed instructions; and splitting a long vector instruction in other to-be-processed instructions into a plurality of micro-operations based on the second vector parameter, and renaming the other to-be-processed instructions according to the plurality of micro-operations, the other to-be-processed instructions being instructions except the first type of to-be-processed instructions in the plurality of to-be-processed instructions. According to the method and the device, the problem that an execution part circuit in a processor is too complex and too large in area and power consumption due to the appearance of a long vector in a vector instruction in the related technology is solved, and the effects of reducing the design complexity of the execution part circuit and realizing better processing frequency in a limited area are achieved.

A method for generating customized AI model for generating video, implemented by one or more processors operatively coupled to a non-transitory computer readable storage device, on which are stored modules of instruction code that when executed cause the one or more processors to perform the method including the steps of identifying from user text of new category for generating video by analyzing context, comparing to known categories of video by using AI model to identify known or new category; generating in real time personal / customized AI model for new category by learning subject by third party AI large language acting as an expert for generating new AI model for new category trained by data of different types of videos and use case, for different subjects and video structure; generating in real time personal / customized video by applying the generated AI model of the new category using the user original prompt.

The invention discloses a data processing method and a related device, and the method comprises the steps: firstly obtaining a target instruction of a virtual machine, and enabling the target instruction to be used for controlling the virtual machine; and then according to the target virtual memory address corresponding to the target instruction, an encryption key corresponding to the target instruction is determined, and different virtual memory addresses correspond to different encryption keys. And according to the encryption key, performing instruction coding on the target instruction through a coding algorithm to obtain a coding result, and storing the coding result as the target instruction in the target virtual memory address. Finally, in the running process of the virtual machine, when a calling request for the target instruction is obtained, the coding result is read from the target virtual memory address, instruction decoding is conducted on the coding result through a decoding algorithm corresponding to the coding algorithm according to the encryption key, and the target instruction is obtained. The encryption key is generated based on the storage address of the instruction, and the encryption key is used for instruction coding to realize the specificity of a coding result, so that the security of the virtual machine is improved.

The invention discloses an ultra-thin induction cooker cooperative control system and method based on a dual-core MCU, and relates to the technical field of cooperative control, the ultra-thin induction cooker cooperative control system comprises a display MCU, a master control MCU and a communication link module, the main control MCU comprises an instruction analysis module, a PWM control module, a parameter acquisition module and a state coding module, and the PWM control module determines a control mode according to an instruction code and generates a pulse signal for controlling the heating coil; the state coding module codes the working state parameters of the electromagnetic field into a second data packet; and the abnormity detection module reads and analyzes the state code in the second data packet sent by the main control MCU, obtains the working state parameter of the electromagnetic field, and judges the abnormal state. According to the invention, a dual-core architecture of the display MCU and the master control MCU is adopted, and the modular design of the system is realized through function decoupling, so that the expandability and flexibility of the control system are remarkably improved.

The embodiment of the invention provides a robot control method and device, electronic equipment and a storage medium, belongs to the technical field of robots, and is applied to financial and medical scenes. The method comprises the steps of obtaining a current environment image and a current time stamp of an environment where the robot is located; generating noise according to a preset noise generation rule to obtain current noise; performing instruction coding according to a preset target task instruction, the current environment image and the current time stamp to obtain a target instruction code; performing noise fusion on the target instruction code according to the current noise to obtain a current fusion code; performing noise prediction on the current fusion code according to a preset target noise prediction model to obtain target prediction noise; performing instruction denoising on the current fusion code according to the target prediction noise to obtain a target execution instruction; and controlling the robot to execute actions according to the target execution instruction. According to the embodiment of the invention, the robot instruction can be restored from an uncertain state to an executable clear instruction.

An RVV1.0 extension-based FFT butterfly operation method for complex sequences includes the following steps: S1, in one stage of an FFT butterfly operation, acquiring data to be processed; S2, based on a standard vector structure of RVV1.0, defining an extended instruction I in a reserved instruction code space of an RISC-V architecture to obtain first data of a multiply-add operation; S3, defining an extended instruction II to obtain second data of the multiply-add operation, and adding the second data and the first data to obtain a multiply-add operation result; S4, defining an extended instruction III to obtain a multiply-subtract operation result; S5, storing a result in a vector register as an operation result of the stage; and S6, if there is a next stage, performing the next stage, and returning to S1; or, if there is not a next stage, ending the FFT butterfly operation.

The invention discloses a logic design system for controller hardware acceleration, which relates to the technical field of controllers and comprises a target column extractor, a long-bit-width parallel comparator, a matrix multiplier and a truth table lookup device. The target column extractor is used for extracting target column data information from a preset page and sending the target column data information to the long-bit-width parallel comparator; the target column extractor does not need to read the column data information one by one, but directly reads the target column data information, so that the reading speed can be increased. Further, the long-bit-width parallel comparator is used for copying the target column data information to the corresponding long-bit-width register according to the data type, obtaining a comparison result according to the comparison operation instruction code and the target column data information, and sending the comparison result to the matrix multiplier; as the long-bit-width parallel comparator can compare the target column data information in parallel, the throughput rate of database calculation can be effectively improved, and the delay rate is reduced.

The invention belongs to the field of trusses, and particularly discloses a truss logistics control method and device for a large five-axis gantry production line, a terminal and a medium. Executing a macro program to realize an automatic loading process and an automatic unloading process; in the automatic loading process and the automatic unloading process, a movement control subprogram is executed to control the truss trolley to move to a source position or a target position, the real-time position of the truss trolley is detected through a laser range finder in the moving process, and the running speed of the truss trolley is controlled according to the real-time position of the truss trolley; in the automatic loading process and the automatic unloading process, releasing and locking of the X-axis safety positioning pin, releasing and locking of the Z-axis safety positioning pin and opening and closing of the truss mechanical arm are achieved by executing M instruction codes. The positioning accuracy of the truss trolley is improved, the logistics operation efficiency is improved, and safety accidents caused by misoperation of the mechanical arm are avoided.

The invention discloses a mobile phone pole charging heat-electricity multi-mode fusion safety protection system based on deep learning, and relates to the technical field of charging control, and the system comprises a handshake echoing module which completes the pole charging handshake of a mobile phone and an adapter, then the mobile phone issues a tentative pulse packet, and the tentative pulse packet is outputted by the adapter in order to form first-round echoing data; the instruction encoding module is used for sending the first-round echo data and the simplified hot area schematic diagram into a neural echo encoder together to generate a safety ripple instruction set and a partition allocation table; and the contrasting and revising module is used for contrasting and rewriting the echo index and the execution receipt in the first-round echo data item by item and generating a revised safety ripple instruction set and a partition allocation table. According to the method, a neural echo encoder is utilized to perform conjoint analysis on first-round echo data and a simplified hot area schematic diagram, a safety ripple instruction set facing an adapter side and a partition allocation table facing a battery side are generated, and integrated output of a charging pulse sub-palette shape and a space rotation bearing strategy is realized.

Provided in the embodiments of the present disclosure are an instruction processing method and device, and a storage medium and an electronic device. The method comprises: on the basis of a preset instruction code, determining from among a plurality of instructions to be processed a first-type instruction to be processed; using an update mode corresponding to said first-type instruction to update a first vector parameter to a second vector parameter; and on the basis of the second vector parameter, splitting into a plurality of micro-operations a long vector instruction in the other instructions to be processed, and performing renaming processing on said other instructions on the basis of the plurality of micro-operations, wherein said other instructions are instructions among the plurality of instructions to be processed other than said first-type instruction. By means of the present disclosure, the problems in the related art of an execution part circuit in a processor being excessively complex and having an excessively large area and an enormous power consumption overhead due to the occurrence of a long vector in vector instructions are solved.

A construction process support system that enables diverse users to quickly and intuitively create construction model data according to their intentions using natural language input and grid-based positioning. The system comprises hardware processors, software modules, and databases configured to display user interface pages to terminals and control natural language input messages. When input messages contain grid labels that specify coordinates on pages with character codes regarding construction structures, the system requests a Large Language Model (LLM) to generate instruction codes describing construction model data including the grid labels as position information. The LLM generates the requested instruction codes. The system stores the construction model data as searchable data in the database, forwards input messages to chat areas, and renders each structure as three-dimensional data at grid label positions on page canvases.

The invention provides a mold engineering drawing labeling system, method and equipment, a storage medium and a program product, and belongs to the field of computers. The system comprises an input analysis module used for obtaining three-dimensional model information, two-dimensional engineering drawing information and mapping information of a target mold; packaging the three-dimensional model information, the two-dimensional engineering drawing information and the mapping information into structured data based on a set data format; the semantic understanding module is used for performing semantic understanding based on the structured data by utilizing a large language model to obtain feature functions and annotation requirements; the dynamic annotation engine module is used for generating an annotation strategy based on the feature function and the annotation requirement; and the parameterized annotation generation module is used for generating an annotation instruction code based on an annotation strategy by utilizing a large language model, and writing the annotation instruction code into the target mold engineering drawing. The method is at least used for solving the problems that in an existing method, labeling efficiency is low, deep semantics cannot be understood, and consequently certain limitation exists in feature recognition application.

The present invention provides a method for generating video template using AI model implemented by one or more processors operatively coupled to a non-transitory computer readable storage device, on which are stored modules of instruction code that when executed cause the one or more processors to perform the steps of:Training Ai model to generate encapsulated video template from user input wherein the encapsulated video is defined by video rules, media unit rules and parameters and object's parameters;Applying trained AI model to generate encapsulated video based on user input by determining video rules, media unit rules and parameters and object's parameters;

The invention provides a flash memory controller and a control method of the flash memory controller, after the flash memory controller completes power-on reset, a host side controller issues configuration information and an instruction of a register to the flash memory controller, and the instruction is written into an instruction cache; reading the instruction from the instruction cache, and decoding an operation code, an instruction weight and a command index corresponding to the instruction according to an instruction format; the weighted arbiter arbitrates and outputs instruction indexes from the instruction queues of all the states according to the weights, and the instruction indexes are stored in a command index buffer in the flash memory controller; and reading the instruction index from the instruction index buffer, and completing the reading of the command word according to the instruction index in the instruction corresponding to the instruction index. By customizing the instruction format, the weighted scheduling of different operations of the flash memory controller can be realized, the response sequence of each instruction of the arbiter can be dynamically adjusted by changing the weight value in the instruction code, and the quick response and dynamic scheduling of high-priority instructions can be realized.

The invention discloses an ECS controller communication anomaly detection method and device based on machine learning. The method comprises the steps of obtaining communication data of interaction between an ECS controller and an upper computer; communication protocol features are extracted from the communication data, and the communication protocol features comprise a device ID, an instruction code, a data packet length, a communication flow direction and an encryption flag bit; and performing communication anomaly detection based on the communication protocol features and a pre-trained communication anomaly detection model to obtain a communication anomaly detection result, the communication anomaly detection model is obtained by performing model training on training data by adopting supervised learning and unsupervised learning, wherein the training data is constructed on the basis of historical communication data interacted between the ECS controller and the upper computer. The attack behavior initiated by the communication vulnerability of the ECS controller is efficiently and accurately detected by combining various machine learning models, so that the detection precision and the real-time response capability are improved.

The invention relates to an accelerator chip instruction operation analysis method and device, equipment, a medium and a product. The method comprises the following steps: obtaining a plurality of data streams obtained by executing a binary file corresponding to a target kernel function by an accelerator chip, then obtaining a plurality of assembly instruction codes corresponding to the binary file according to the binary file, and then obtaining a plurality of assembly instruction codes corresponding to the binary file according to a time sequence of a clock cycle, performing matching processing on each assembly instruction code and a data stream corresponding to the assembly instruction code in sequence to obtain an instruction code analysis result corresponding to the assembly instruction code, the instruction code analysis result comprises at least one of the number of clock cycles required by the accelerator chip to execute the assembly instruction code and the number of execution times corresponding to the assembly instruction code. By adopting the method, the accuracy of analysis results can be improved.

The embodiment of the invention discloses a data processing system and a data processing method based on RISC-V. The data processing system comprises an instruction coding space and a reconfigurable execution unit, the instruction coding space comprises an operation code area, a reserved area and an expansion area; the instruction coding space is used for defining a basic operation to be executed by an instruction in the operation code area, defining an extended operation to be executed by the instruction in the reserved area and defining the length of the instruction in the extended area so as to configure different types of instructions; the reconfigurable execution unit is used for constructing a data path matrix of the instruction based on the configuration information of the instruction; transmitting data required when the instruction is executed based on the data path matrix; and executing an operation corresponding to the instruction based on the data of the instruction.

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.

The invention discloses a Qxlsx-based task instruction one-key generation method, which comprises the following steps of: reading parameters by reading an autonomous task design file to obtain an instruction code sequence and parameters of each task, loading a dynamic instruction library by instruction one-key generation software, and calling a corresponding dynamic instruction through instruction code matching, finally, the instruction code words are generated to a specific directory, a log file record generation process is generated, and the problems that in the prior art, the efficiency of autonomous task instruction generation is low, and the method is complex can be solved.

To process monitoring data during operation of an electric power system, a processing system controls a human machine interface to output an alarm panel, enable an operator input to select a list element from the alarm list, and, responsive to the operator input, cause at least one control action to be performed. The alarm panel comprises several icon sequences for several alarms.

The invention discloses an information fusion and reasoning method and system based on multi-agent collaborative networking search, and relates to the technical field of network information, and the method comprises the steps: a deep research strategy scheduling agent deconstructs an unstructured request through a task formalization mechanism, generates a high-dimensional instruction code, and dynamically optimizes an execution path. And the network intelligence index generation agent extracts and screens the trusted URL by using a rule engine and a semantic evaluator based on the code, and generates a structured link instruction stream. The structured analysis intelligent agent implements multi-level semantic distillation and conversion on an original document to obtain key value pair representations, and the key value pair representations are packaged into machine readable data. And generating a comprehensive intelligence abstract with consistent logic through the information fusion analysis agent. And the natural language generation engine converts the information into a professional report, and returns the professional report to the scheduling module through a feedback interface to realize cognitive closed-loop iterative optimization. The technical problem that in the prior art, it is difficult for geologists to obtain accurate, comprehensive and credible professional conclusions is solved.

The embodiment of the invention provides a chip test method and a related device, and the chip test method is applied to a host and comprises the steps: obtaining an excitation instruction sent by a test case; converting an excitation instruction sent by the test case into a test instruction code in a preset format; the preset format is a data format which can be identified by a hardware acceleration simulator; sending the test instruction code to a hardware acceleration simulator through an instruction queue cache mechanism; the instruction queue caching mechanism comprises the steps of storing the test instruction code in a preset file, and sending the test instruction code to a hardware acceleration simulator when a preset transmission condition is met. According to the invention, the test instruction code can be transmitted in a centralized manner with a large amount of data at a time and can be transmitted for multiple times, so that the data transmission frequency between the host and the hardware acceleration simulator is reduced, the chip test speed is increased, and the verification efficiency is improved.

A craft comprises at least one hull, at least one wing configured to generate upwards acro lift as air flows past the at least one wing to facilitate wing-borne flight of the craft, at least one retractable hydrofoil configured to generate upwards hydrofoil lift during a first mode of operation as water flows past the at least one hydrofoil to facilitate hydrofoil-borne movement of the craft through the water, and a control system that comprises data storage having instruction code stored thereon that causes the control system to during a takeoff operation when the craft is accelerating through the water and is supported by the at least one hydrofoil, control the at least one hydrofoil to generate downwards hydrofoil lift that maintains the at least one hydrofoil submerged at a predetermined hydrofoil depth threshold below the water surface; and when the craft reaches a takeoff condition, cause the least one retractable hydrofoil to release the craft from the water to facilitate wing-borne flight of the craft.

The invention provides a task execution method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence, in particular to the technical field of deep learning and the technical field of large models. The task execution method comprises the steps that a target instruction attribute is determined from an instruction attribute set through a first calculation unit, the target instruction attribute is associated with a first target instruction in a first instruction stream and a second target instruction in a second instruction stream, and the first instruction stream and the second instruction stream are used for a target processing task, the target instruction attribute comprises a target address of the target instruction code in the storage unit; sending the target address to a second computing unit by using the first computing unit; reading the target instruction code from the target address of the storage unit by using a second calculation unit; and under the condition that the target instruction codes are multiplexed based on the respective execution logics of the first target instruction and the second target instruction, executing the first instruction stream and the second instruction stream by utilizing the second calculation unit to obtain an execution result of the target processing task.

The present application provides a method and system for determining the spacecraft command sending status. The method includes: receiving a comparison application information and the corresponding small loop comparison information queue, where the comparison application information is generated after the command sending control system sends a control command; the ground station sends at least one command code to the spacecraft in response to the control command; determining the spacecraft command sending status corresponding to each control command according to the comparison application information and the small loop information queue, so as to monitor the spacecraft. This method designs a comparison architecture and a sending status comparison process based on the small loop comparison information. By introducing the small loop comparison information fed back by the ground station, the judgment of the ground station sending status is automatically completed, and the comparison result is output, realizing the monitoring and judgment of the intermediate nodes of the command sending execution, enabling the ground control center to quickly locate the link where a fault occurs in the command sending process, and at the same time being able to further monitor the spacecraft status.

The invention discloses a measurement data determination method and device, electronic equipment, a storage medium and a product. The method is applied to the technical field of communication, and comprises the following steps: generating a session establishment request message sent to a mobile management function network element based on a service request message, so that the mobile management function network element feeds back service parameters; generating a service indication code according to the service parameter, and generating a service bearing instruction sent to the target client based on the service indication code, so that the target client performs service bearing configuration based on the service bearing instruction; and receiving a feedback message that the service bearer configuration is completed, and sending a measurement configuration message to the target client according to a verification result of the to-be-verified indication code corresponding to the feedback message, so that the target client uploads measurement data. According to the method and the device, the measurement data corresponding to the service types are acquired, the network bandwidth resource consumption is reduced, the network coverage condition corresponding to each service type is conveniently evaluated in a targeted manner subsequently, and the targeted network coverage optimization is carried out.

The invention relates to the technical field of hardware acceleration, and provides a convolutional neural network hardware acceleration method and system, and the method comprises the steps: obtaining a convolutional neural network instruction which comprises an img2col instruction, a systolic array multiplication instruction and a col2img instruction; analyzing an operation instruction code and a function code field of each instruction, determining a target register, a source register and calculation parameters, determining an instruction function and generating a control signal; data to be operated are taken out from the source register and transmitted to the corresponding operation module together with the control signal and the calculation parameter to be calculated, and then the data are written back to the target register; through hardware optimization strategies such as multi-level address superposition, systolic array data multiplexing, double-buffer window construction and a parallel comparison tree, extra power consumption caused by multiple times of data loading and storage and intermediate result calculation is reduced, and data handling overhead, calculation delay and control complexity are greatly reduced.

A system and method for firmware updates on Execute-in-Place (XIP) devices with multiple memory partitions is disclosed. Firmware files include instructions coded to one of the partitions, while another partition runs the active firmware. An address remapping technique redirects the fetching addresses in the instructions to the partition storing the active firmware, so the instructions may be executed properly when the firmware files are installed in either partition. As a consequence, the firmware update file only requires one version, instead of multiple versions for multiple partitions, and this simplifies the firmware update process, such as compatibility verification and version control, saves memory space on the server, and reduces bandwidth usage.