660 results about "Software modules" patented technology

The invention discloses a lineation robot control system based on a satellite positioning and orientation technology, which relates to the technical field of robot motion control and comprises a satellite positioning and orientation module, an inertial navigation module, a fusion positioning and orientation software module, a motor control software module, a motion control software module and a pattern planning software module. The satellite positioning and orientation module is used for acquiring latitude and longitude coordinates of the current position of the robot by receiving multi-frequency satellite signals; the inertial navigation module is used for collecting posture and motion data of the robot in real time through a gyroscope and an accelerometer. According to the lineation robot control system provided by the invention, through collaborative design of the multi-frequency-point GNSS receiver and the anti-multipath interference antenna array, centimeter-level continuous positioning capability in a complex urban environment is realized, and satellite signal reflection and shielding interference in scenes such as viaducts and avenues are effectively overcome; and satellite positioning and inertial navigation data are deeply fused through a tight coupling Kalman filtering algorithm.

The invention discloses an operating system health assessment method and system based on multi-dimensional index dynamic weighting, and the method comprises the steps: collecting the state of each hardware module, calculating the index, carrying out the weighted summation to obtain the score of the hardware module, adjusting the weight parameter of each hardware module through combining with the real-time load characteristic or business priority, and carrying out the real-time evaluation of the health of each hardware module. Performing weighted summation on the scores of the hardware modules to obtain a hardware health score; software state information in the operating system is collected, scores of all software modules are calculated, the software modules comprise key components, key services and key processes, and the scores of all the software modules are weighted and summed to obtain software health scores; and performing weighted summation on the hardware health score and the software health score to obtain a health score of the operating system so as to determine the health state of the operating system. The invention aims to solve the systematic defect in the existing health monitoring technology system, improve the comprehensive evaluation capability of the health evaluation of the operating system, and dynamically adapt to the change rule of the actual operating environment.

The invention relates to a reservoir dam operation safety sky-land project intelligent sensing system and an operation method, and relates to the technical field of hydraulic engineering safety monitoring. The system is composed of a sky-land water conservancy project integrated monitoring and sensing system, a self-adaptive sampling module, a layered distributed architecture and a software and hardware integrated module, and multi-source data such as deformation, seepage, stress strain, vibration and environmental quantity are cooperatively collected through five dimensions of sky domain, airspace, territory, water domain and work domain. The monitoring frequency is dynamically adjusted by using an adaptive sampling strategy, and data cleaning, standardization, space-time registration and fusion processing are completed through a distributed architecture to generate a high-quality comprehensive data set. The system can realize total-factor and whole-process refined monitoring, effectively eliminates data islands, improves data quality and monitoring efficiency, has high reliability, real-time performance and expandability, and provides powerful data support and decision basis for dam safety assessment and intelligent early warning.

Systems and methods for developing personalized instructional content include a computing device using software modules which capture data about subjects, teachers, and learners, train artificial intelligence models based on the acquired data, use the artificial intelligence models to generate instructional content personalized to an instructor and / or learner based their input, compare the generated instructional content to vetted sources and correct errors, and cause the processor to output a personalized instructional course including the updated generated instructional materials in the format capable of display to an individual learner.

The invention relates to the technical field of image processing and computer vision, in particular to a digital human image correction method, electronic equipment and a storage medium. The digital human image correction method comprises the following steps: preprocessing an image; extracting features; deviation analysis; generating a correction strategy; and correcting the image. According to the invention, image correction is realized by using an image processing library, a deep learning framework and the like through related software modules, so that the digital human image quality is improved, and the sense of reality and the visual effect are enhanced.

The invention belongs to the field of desilting robots, and particularly discloses a suction type underground drainage pipeline intelligent desilting robot and a desilting method.The desilting robot is composed of an in-pipe integrated robot and an inspection well box; the in-pipe integrated robot comprises a hardware structure and a software module, the hardware structure comprises a mechanical assembly, a circuit assembly, a sediment breaking assembly, a sediment conveying assembly and a machine body, and the software module comprises a pipeline sediment intelligent diagnosis module. A drainage pipeline siltation diagnosis module based on a deep learning network is arranged in a deep learning development board to achieve siltation diagnosis, and a central instruction receiving and sending module is used for sending desilting operation instructions to a nail surface type electric hammer, a high-pressure water spray head, a siltation crushing cutter, a silt pumping pipe, a silt discharging pipe and a vacuum sewage suction pump. According to the invention, automatic and intelligent operation of siltation diagnosis and desilting of the underground drainage pipe network in a certain maintenance area can be realized, the efficiency is greatly improved, personnel do not need to enter the pipeline, and the danger is greatly reduced.

The invention relates to the technical field of garbage recognition, and particularly discloses an intelligent garbage recognition system and method based on multi-modal fusion, a hardware sensing unit is composed of a three-dimensional vision module, a touch sensing module and a near infrared spectrum module, and point cloud data, a pressure distribution matrix and spectrum data of garbage are obtained respectively; and an edge computing unit is equipped to carry an NPU acceleration chip for data processing. And the software module realizes multi-modal feature fusion by using ResNet-50, LSTM (Long Short Term Memory), 1D-CNN (Convolutional Neural Network) and Transform Encoder, and is also provided with a multi-sensor timestamp synchronous controller. And the dynamic feature database starts online learning to update the material feature library when the garbage recognition confidence coefficient is lower than 85%. During feature fusion, a cross-modal feature mapping relation is established, the weight is adjusted through an attention mechanism, and dynamic learning adopts a model lightweight method based on knowledge distillation. And starting an arbitration mechanism to correct the classification result when different modal identification results conflict. According to the method, the advantages of different modal data are fully utilized, and the recognition capability in a complex environment is improved.

Aspects described herein may automatically generate threat models using large language model (LLM). A computing device may send, to LLM, one or more software modules associated with a computing system. The computing device may request the LLM to generate a threat model of the computing system. The computing device may receive, from the LLM, a first output based on the first prompt comprising first information for a first version of the threat model and a penetration test script for the computing system. The computing device may input, to the LLM, the result of the penetration test together with the LLM's previous output, to facilitate the LLM to generate a refined version of the threat model.

The invention relates to the technical field of engineering cost, and discloses a data entry method for engineering cost software, which comprises the following steps of: S1, importing an engineering quantity list file in an Excel format through an interface of the engineering cost software, and automatically analyzing a data structure of the engineering quantity list file; s2, based on a preset intelligent matching algorithm, performing dynamic mapping on the Excel data field and a data field of a project cost software function module; s3, adopting a data type self-adaptive rule to automatically classify and convert numerical values, texts and compound data in the Excel; s4, based on a data association generation algorithm, automatically establishing a hierarchical relationship and a dependency relationship between the engineering quantity list items; s5, executing one-button data import, and writing the processed structured data into a project cost software database in batches; according to the method, high-precision automatic mapping of the Excel field and the software module is realized through an intelligent matching algorithm and a dynamic weight adjustment mechanism based on the feature vector similarity, the matching accuracy is greatly improved, and the manual correction frequency is greatly reduced.

A system for providing a safety critical operating environment container architecture, the system including a computing device having a memory communicatively connected to at least one multi-core processor, the memory containing instructions configuring the processer to receive at least a software module to be executed on the at least one multi-core processor, create a separate virtual environment for the at least a software module, wherein creating the virtual environment further includes generating a virtualization layer and allocating a dedicated private static memory space through the virtualization layer, wherein the separate virtual environment includes a dedicated operating system, integrate the at least a software module into the virtual environment by instantiating, the software module into at least one software container, wherein the at least one software container includes a plurality of dedicated software packages and execute the software module on each software container for each virtual environment.

The invention discloses a portable indoor environment detector based on STM32. The portable indoor environment detector comprises a hardware module and a software module, the hardware module comprises a main control module, a sensor module and a display module; the software module comprises a communication module and a client control module; the sensor and gas molecules are subjected to physical and chemical reaction to generate electric signal change, and electric signals with different amplitudes are generated according to different concentrations and transmitted to the main control module; the main control module obtains a target gas concentration value through an analog-to-digital conversion function and through preprocessing and mode recognition of the electric signal, and transmits the target gas concentration value to the display module and the client control module through the communication module; and after receiving the target concentration value, the client control module transmits the target concentration value to the Ali cloud platform, displays data and a real-time curve on a Web visual interface for a user to check, and can control the start and stop of a gas detection function at the same time. According to the invention, high-precision detection of a plurality of common harmful gases is realized, and the rapid response capability is realized.

An apparatus and method for increasing security of a virtual machine are disclosed. The apparatus includes a host circuit having at least a processor and a memory, wherein the at least a processor is configured to receive at least a software module, create a virtual environment, which includes creating a plurality of partitions including a virtual machine (VM), determine a compliance category of the at least a software module as a function of an adherence of the at least a software module to at least one operational rule, isolate the at least a software module to the VM of a software module partition of the plurality of partitions, which includes adjusting partition connections between the software module partition and other partitions of the plurality of partitions within the virtual environment as a function of the compliance category and execute the at least a software module within the virtual environment.

The invention discloses a wearable plantar pressure and three-dimensional gait analysis system, and relates to the technical field of gait analysis, the system comprises a wearable in-shoe plantar pressure analysis subsystem and a three-dimensional gait analysis subsystem; the wearable in-shoe plantar pressure analysis subsystem comprises a pressure sensor module, a pressure integration module, an intelligent transmission module, a detection software module, a power supply module, an instantaneous pressure and balance detection module, a standing balance detection module, a balance and gait detection module and a cloud server; the three-dimensional gait analysis subsystem comprises a hardware unit and a software unit; according to the invention, a wearable plantar pressure and three-dimensional gait analysis collaborative system is constructed, bidirectional verification compensation is realized by means of data fusion of two subsystems, and traditional single-dimensional limitation is broken; pressure sensing and a double-view reconstruction technology are fused, data are dynamically captured, and bidirectional error correction is carried out; the limitation of traditional equipment is solved, the evaluation accuracy and robustness are improved, and a quantitative basis is provided for clinical diagnosis, rehabilitation and the like.

A monitoring and / or food / water / medicine control system and method of use of the systems provide that (i) an experimenter at the computer desktop sets the schedule for feeding / fasting (food or water or medicine) the animal according to their need, and the animal's access to food or water or medicine will be set accordingly. This allows animal scientists, experimentalists, and experimenters to fully control animal feeding scenarios; (ii) the experimenter remotely opens and closes the animal's access to food / water / medicine regardless of the pre-set schedule; (iii) the experimenter checks the animal's status via real-time monitoring; (iv) an artificial intelligence system identifies and tracks the animal's location and its activities; and (v) a software module connects the vision unit and feeding mechanism to the experimenter's desktop to provide full control of both the vision unit and the feeding mechanism, to calculate different parameters of the animal's activities, and to report the animal's feeding / fasting history, activity history, and upcoming scheduled feedings.

The invention discloses a flight parameter loading method based on software internal data acquisition, belongs to the technical field of airborne avionics, and aims at the problems of limited data acquisition flexibility, low resource utilization efficiency and difficulty in problem positioning. A detailed parameter recording instruction is set on a TIDE software interface, the TIDE software encapsulates the instruction into a request packet and sends the request packet to the FDR software, the FDR software verifies and analyzes the request packet and stores the request packet in a temporary storage area, the FDR software reencapsulates request information into a request packet conforming to an IVOS software receiving format and forwards the request packet to the IVOS software, and the IVOS software receives the request packet and sends the request packet to the TIDE software. Carrying out integrity verification on the data packet; through cooperative work of the IVOS software module, the FDR software module and the TIDE software module, key data related to research and development tests can be accurately collected, research and development personnel do not need to blindly find useful information in mass data, and the data processing and analysis efficiency is greatly improved.

The invention discloses a satellite positioning and orientation automatic lineation robot control method, which relates to the technical field of automation control and comprises the following steps: S1, generating high-precision positioning data by fusing a satellite positioning and orientation technology and an inertial navigation technology; the satellite positioning data and the inertial navigation data are fused through a Kalman filtering algorithm. According to the automatic lineation robot control method, the satellite positioning and orientation technology and the inertial navigation technology are fused, data fusion is carried out through the Kalman filtering algorithm, high-precision positioning data can be generated, a solid foundation is provided for follow-up pattern planning and path planning, and the automatic lineation robot control method is suitable for large-scale popularization and application. The working efficiency of the lineation robot is improved, the lineation precision is remarkably improved, the accuracy and consistency of pattern drawing are ensured, a complex pattern is decomposed into simple pattern units through the pattern planning software module, path planning is conducted through a cubic spline interpolation algorithm, and the lineation process is simplified.

The invention discloses a visual recognition paint spraying robot system and an operation method thereof, and relates to the technical field of automatic paint spraying, and the technical scheme is that the visual recognition paint spraying robot system comprises a robot system module which comprises a hardware module and a software module; the hardware module comprises a visual acquisition unit module, a spraying execution module, a paint supply module, a safety protection unit module and a control terminal module, and the software module comprises a visual identification subsystem module, a path planning subsystem module, a monitoring and alarm subsystem module and a safety control subsystem module. The high-precision paint spraying system has the beneficial effects that through the high-resolution industrial camera, the 3D laser scanner and an advanced visual recognition algorithm, information such as grooves, defects and sizes of workpieces can be precisely recognized, high-precision paint spraying of complex workpieces is achieved in combination with a self-adaptive path generation algorithm, the paint spraying quality and the product percent of pass are greatly improved, the production efficiency is improved, and the production cost is reduced. And the whole paint spraying process is smoother and more efficient.

The invention discloses a real-time adjustment camera focusing method and system, and aims to solve the problem of poor anti-interference capability of an existing focusing mode. The method comprises the following steps: off-line construction of an optimization lookup table and on-line real-time focusing: in an off-line stage, constructing a fixed-focus platform, generating an original lookup table through light spot anti-interference preprocessing and centroid calculation, and then constructing an efficient retrieval data structure to obtain the optimization lookup table; in the online stage, images are collected in real time, the center of mass is obtained through anti-interference processing, compensation is conducted through a preset prediction algorithm during shielding, target reference points are matched through an efficient retrieval data structure, and focusing is triggered according to deviation of the center of mass. The system comprises a hardware module and a software module which cooperatively realize the method. The method improves the anti-interference capability of light spot processing and the matching efficiency of the lookup table, adapts to the interference of illumination fluctuation, shielding and the like of an industrial environment, meets the real-time focusing requirements of high-speed production, is compatible with existing hardware, and is convenient to deploy.

The invention discloses a software architecture recovery method and system based on structural dependence and semantic similarity, and the method comprises the steps: carrying out the coding and embedding of source code files of software through a code pre-training model, extracting the semantic information of the source code files, and calculating the semantic similarity between the source code files; using a code statistical analysis tool to extract a structure dependency relationship between the source code files; in combination with the semantic similarity and the structure dependency relationship, calculating a connection weight between the source code files, and constructing a weighted graph; and dividing the weighted graph into communities representing the software modules by adopting a community detection algorithm, and recovering the software architecture. According to the method provided by the invention, the weighted graph is constructed by combining semantic similarity and structural dependency, and software modular segmentation is carried out by adopting a community detection algorithm, so that the efficiency, accuracy and expandability of software architecture recovery are improved.

The present application relates to an automatic detection method and apparatus for a next-generation firewall. The method comprises: generating an SKB message on the basis of message header information and a probe table; periodically sending the SKB message to a software packet receiving entry of a next-generation firewall; the next-generation firewall performing multiple security inspections on the SKB message on the basis of a preset policy; storing the inspection results of the multiple security inspections into the probe table; determining an abnormal software module on the basis of the probing results in the probe table; and generating an alert log on the basis of the abnormal software module to automatically notify a user. In the present application, software modules along a forwarding path in the next-generation firewall can be automatically detected, and an abnormal module can be automatically recorded, so that the network can be automatically and quickly recovered when the firewall fails; and fault causes can also be provided to improve the diagnosis efficiency.

Embodiments are directed to methods and systems for crypto-agile encryption and decryption. A computer system can possess a protocol file that identifies one or more cryptographic software modules. Using these cryptographic software modules, the computer system can generate a plurality of shared secrets and a session key, then use the session key to encrypt a message. The message can be sent to a server computer that can subsequently decrypt the message. At a later time, the protocol file can be updated to identify a different set of cryptographic software modules, which can be used to encrypt messages. Further, the server computer can transmit additional cryptographic software modules to the computer system, enabling the computer system to use those cryptographic software modules to generate cryptographic keys. As such, the cryptographic protocol file can be changed in response to changes in the cryptographic needs of the computer system.

The invention relates to the technical field of intelligent control of double-drum washing machines, and discloses an intelligent control system of an energy-saving double-drum washing machine, which comprises a hardware execution unit used for providing multi-mode sensing, accurate liquid management, mechanical execution and energy recovery functions; the control processing unit is used for processing the received data, operating an algorithm and coordinating the operation of each component of the system; the cooperative control software module runs on the main control board and comprises an acoustic fingerprint identification and fault diagnosis module and an intelligent fluid precise counterweight and cooling module; an AI-driven collaborative decision and adaptive optimization module; the invention discloses a micro heat pump energy recovery and precise temperature control linkage module. By means of the high-sensitivity acoustic array sensor and the acoustic fingerprint recognition and fault diagnosis module, clothes imbalance is recognized, point-to-point liquid balance weight is achieved by means of the micro-fluidic spraying valve array, the optimal dehydration cooperative scheduling strategy is generated, water and electricity resources are greatly saved, and the dehydration efficiency is improved.

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 lossless compression and decompression method and system based on a probability model, and belongs to the technical field of data compression. The method comprises the processes of segmentation of input data, probability model training, probabilistic reasoning, entropy coding compression / decompression of an asymmetric digital system and bisection reconstruction input. The system comprises a software module and a hardware module, the software module comprises probabilistic model training, probabilistic reasoning and asymmetric digital system entropy coding compression / decompression, and the hardware module comprises a probabilistic model operation module and a compression / decompression module. According to the method, lossless, high-speed and high-compression-ratio lossless compression can be carried out, and input sequences of different sizes and different types can be compressed through segmentation and parameterization on the input sequences, such as pictures, audios and videos; lossless compression with a high compression ratio is realized through a joint function of probability model reasoning and asymmetric digital system entropy coding; through independent selection or design of hardware modules, high-speed lossless compression is realized.

The invention discloses a software and hardware module for an intelligent service robot, and relates to the technical field of machine control modules, the software and hardware module comprises a module carrier frame, a layered folding mechanism is arranged in the module carrier frame, the layered folding mechanism is used for optimizing circuit layout, and a circuit board is arranged in a mode that the middle part is foldable. Circuit elements and layouts on the circuit board are arranged separately, the software and hardware modules are installed on the two sides respectively and are distributed in a modularized and foldable mode, the hardware modules are installed above the rear side of the circuit board, related lines are located above the circuit board, a software module carrier is located below the front side of the circuit board, and corresponding lines are located below the circuit board. According to the layout, the possibility of mutual signal interference between hardware and software is effectively reduced, signal crosstalk is reduced due to the fact that signal lines of different functional modules are separated, the stability and accuracy of signal transmission of software and hardware modules are guaranteed, and then the reliability of overall operation of the robot is improved.

The invention discloses an integrated design management system with an automatic registration communication agent engine and a method thereof, and relates to the technical field of software integrated design simulation. The method has a heterogeneous integration breakthrough, the five communication modes are matched with the software without the API / command line / file, different heterogeneous software can support one communication mode, and the integration cost is remarkably reduced; dynamic expansibility is achieved, a newly added software module only needs to deploy a proxy engine and configure registration, and zero-shutdown upgrading of the platform is achieved; high concurrency reliability is achieved, resource conflicts are solved for an instance mechanism, and parallel task efficiency is improved; and full-process automation is achieved, and the cross-software design process execution time is obviously shortened.

The invention relates to the field of bioinformatics, in particular to a genome selection method, device and equipment, a medium and a computer program product. Integrating a plurality of machine learning models, including 13 algorithms such as a support vector machine (SVM), linear regression, Ridge regression, Lasso regression and the like; by combining automatic hyper-parameter optimization, parallel computing and efficient data preprocessing technologies, the breeding prediction precision and the computing efficiency are remarkably improved. The device comprises an IASML software module and an IASML cloud platform module, wherein software supports command line operation and is suitable for large-scale data calculation; the cloud platform provides a graphical interface and supports online data uploading, model selection, real-time monitoring and result downloading. According to the method, the problems of singleness, limited data scale, poor interactivity and the like of an existing tool model are solved, and an efficient, flexible and reproducible intelligent solution is provided for animal and plant breeding and genetic research.

The invention discloses a software testing method and device, a medium and a computer program product, and relates to the technical field of software testing, a test case is generated according to input test requirement information for tested software, a code analysis tool is utilized to analyze the complexity score of the test case, and the complexity score of the test case is analyzed; and calling the first agent to decompose the test case into a plurality of sub-test tasks according to the complexity score, and calling a plurality of second agents to correspondingly execute the sub-test tasks so as to comprehensively cover the test scene, in the test, the second intelligent agent corresponding to the associated software module is triggered to repeatedly test the associated software module according to the configuration information change of the target software module of the tested software and the dependency graph between the software modules, so that the system change is automatically adapted, the overall repeated test is reduced, and hidden problems are found; the problems of incomplete test coverage, difficulty in discovering hidden problems and low efficiency in related technologies are solved, and the test efficiency and reliability of the management operation and maintenance software of the data center server are improved.

The method includes: A breath wake-up processing apparatus sends voice data in first data when detecting that the obtained first data is used for indicating to wake up a first application through breath. A breath wake-up software module stores the voice data, starts the first application, and controls the breath wake-up processing apparatus to stop detecting breath wake-up of the first application. The first application sends a first notification when successfully calling the breath wake-up software module. The breath wake-up software module sends the voice data to the first application. The first application performs voice recognition on the voice data. The first application sends a second notification when determining, based on the voice data, that the voice recognition ends. The breath wake-up software module controls, in response to the second notification, the breath wake-up processing apparatus to start detecting next breath wake-up.

The invention provides a 2D laser radar layered shielding and stepless speed regulation collaborative obstacle avoidance system, which comprises a 2D laser radar device, an industrial personal computer, a single chip microcomputer, a motor control unit, a 2Dslab positioning module and a layered collaborative obstacle avoidance module, according to the module, efficient obstacle avoidance is realized through a four-layer collaborative architecture; comprising a user interaction layer for providing a graphical configuration interface, a map fusion shielding layer for realizing static barrier shielding based on a positioning map, and a dynamic deceleration area sensing layer for dynamically adjusting the sensing range according to the real-time speed and acceleration of a mobile robot, and the stepless speed regulation control layer is used for constructing a speed continuous mapping model to realize smooth transition of the near-obstacle process. According to the invention, through the synergistic effect among the stepless speed regulation control layer, the dynamic deceleration area sensing layer, the map fusion shielding layer and the user interaction layer, the smoothness, the adaptability and the intelligence of the obstacle avoidance decision are realized.