331 results about "System image" patented technology

An acquisition section acquires first image data from another information processing device. A display processing section displays a first image corresponding to the first image acquired by the acquisition section. An acceptance section accepts operation information of an input device for operating a first information processing device when the first image is displayed. A system image generation section generates second image data corresponding to the operation information accepted by the acceptance section. The display processing section reduces the first image and displays a second image corresponding to the second image data in a manner superimposed on the reduced first image.

The invention relates to the technical field of oral cavity imaging, in particular to an oral cavity nursing monitoring imaging system and method.The system image structure decomposition module, the local contour recognition module, the image change detection module, the abnormal area filling module and the color gamut dynamic regulation and control module are included. Functional areas are clearly divided, the area recognition precision of images is improved, particularly, in tooth boundary recognition, contrastive analysis of brightness and color differences is utilized, the recognizability of tooth contours and continuous frame tracking of tooth structure changes are remarkably enhanced, the dynamic deformation path of the tooth structure changes is displayed, the monitoring capacity of tiny changes is improved, and meanwhile, the recognition accuracy of the tooth contours is improved. The automatic completion technology is used for repairing the fracture boundary in the image and restoring the boundary continuity, and the color channel is adjusted to ensure the overall visual consistency of the image and avoid visual discordance, so that the image quality and the analysis accuracy are improved.

According to embodiments, a system for imaging a blood flow in a region of interest of a patient includes: a display configured to display an image; a processor configured to execute the instructions to: obtain ultrasound imaging data based on an imaging signal; select the region of interest in the ultrasound image data; determine at least one characteristic of a blood flow in the region of interest; generate an animation indicating the at least one characteristic of the blood flow in the region of interest, wherein the animation indicates the blood flow during a single time slot; and control the display to display a static image including the region of interest and the animation within the region of interest.

The invention provides a transformer substation hardware wear detection method based on improved YOLOX and a related device, and belongs to the field of power system image processing. The method comprises the following steps: acquiring RGB and thermal infrared images of the transformer substation hardware fitting, and carrying out registration to obtain a multi-modal image pair; and inputting the image pairs into a wear detection model based on an improved YOLOX network, and obtaining a wear detection result through feature enhancement and detection. The improved YOLOX network uses an MGFM module to fuse image features in a backbone network part, and feature representation is enhanced through a graph attention network; and the neck network part adopts a PANet introduced with DMA to carry out multi-scale feature optimization. According to the method, RGB and thermal infrared images are combined, and the improved YOLOX network is utilized, so that the detection capability of the wear characteristics of the hardware fitting in a complex environment is improved, missing detection is reduced, the detection precision is improved, and the requirement of a power system for high-precision detection is met.

A method of operating an orthopaedic surgical system may include displaying a unique identifier on a visual display of a first device positioned in an operating room, the unique identifier being associated with a digital medical record of a patient positioned in the operating room, capturing the unique identifier with a camera of a second device positioned in the operating room, establishing a unique electronic connection between the second device and the digital medical record of the patient based on the unique identifier, capturing one or more images of the patient with the camera of the second device, transferring the one or more images from the second device to the digital medical record of the patient using the unique electronic connection, and accessing the one or more images with the first device to guide performance of an orthopaedic surgical procedure on the patient.

The invention relates to an EOS-like three-dimensional data generation method, in particular to a method for generating EOS-like three-dimensional data through CT scanning data, a computer program product and terminal equipment, and solves the technical problem that an existing EOS-like three-dimensional data generation method is low in efficiency and precision. According to the method, a physical projection model based on EOS system geometric parameters is constructed, the geometric projection process of EOS system imaging is precisely restored, and a style migration network and a three-dimensional reconstruction network are established by means of deep learning; the style migration network realizes conversion from CT scanning data to biplanar EOS data by utilizing the view angle complementary characteristic of front and side projection; according to the three-dimensional reconstruction network, an adversarial learning architecture of double generators and double discriminators is utilized, and high fidelity of generated EOS-like three-dimensional data in geometric structure and texture details is ensured through collaborative optimization of adversarial training and cyclic consistency constraint. The matching of the style migration network and the three-dimensional reconstruction network can greatly improve the generation efficiency and precision of the EOS-like three-dimensional data.

In certain embodiments, an ophthalmic system images an eye region comprising at least one eye. The system includes a camera system and a computer. The camera system includes cameras that yield image portions of the eye region. Each camera is located at a position relative to the eye region and yields an image portion. The computer receives the image portions from the camera system. A first image portion is provided by a first camera, and a second image portion is provided by a second camera. The computer identifies identify target pixels of the first image portion, where the target pixels image a location of the eye region; determines image information of correction pixels of the second image portion, where the correction pixels image the same location of the eye region; and corrects the target pixels using the identified image information.

The invention discloses a scene-based non-uniformity correction method, and relates to the technical field of image processing. According to the method, the key frame and the non-key frame are identified by analyzing the difference degree of continuous image sequences of the night vision system, extracting the difference region and evaluating the importance score of the frame in combination with the information entropy of the image; for the key frame, carrying out full-frame storage and on-line average calculation to generate an initial non-uniformity correction parameter; non-key frames only reserve difference area data, local updating is carried out based on correction parameters of the key frames, and the correction effect is further optimized through statistical characteristics of difference areas; and the standard deviation convergence condition is dynamically adjusted, the non-uniformity correction precision is optimized, newly added key frames are automatically processed in the real-time image sequence, and redundant data are deleted. According to the method, the image processing efficiency and the correction precision are remarkably improved, the redundancy calculation and storage overhead are reduced, the adaptability is high, correction parameters can be optimized in real time, and the method is particularly suitable for efficient and accurate night vision system image processing.

The invention discloses a drive program installation method and electronic equipment, and relates to the technical field of software. According to the scheme, the driver files of all the devices of the server are stored in the preset storage medium in advance, so that the completeness of driver programs of all the devices is ensured, which is the premise of executing device driver updating and installation; meanwhile, when the operation system mirror image is installed, the target drive file of the undriven device in the storage medium can be read, loaded and installed based on the target installation environment of the operation system mirror image, the drive file does not need to be integrated into the operation system mirror image in advance, and the operation system mirror image version release is not depended on; therefore, the problems that the period of releasing the new ISO mirror image by the system issuer is long, and the new parts cannot be used due to the update lag of the drive program are solved, and the rapid popularization and application of the new parts of the server are facilitated.

The invention relates to an operating system mirror image generation method and device and an operating system mirror image installation method and device. The operating system mirror image generation method comprises the steps of processing received different mirror image creation instructions in sequence, and creating a customized software directory and a mirror image index file in a corresponding mirror image folder of an operating system according to software requirements corresponding to the mirror image creation instructions in the process of processing each mirror image creation instruction, performing interference removal processing on the customized software directory to remove interference on the processing process of the next mirror image creation instruction; writing a starting entry corresponding to each processed mirror image creation instruction in a basic mirror image of the operating system, and writing installation logic corresponding to each processed mirror image creation instruction in a mirror image folder; and packaging the mirror image folder to obtain a multi-version mirror image of the operating system. By adopting the method, operation system mirror image customized installation for different versions of software can be realized.

The invention relates to the technical field of image segmentation, provides an image segmentation method and system for a cantilever system of a high-speed rail overhead line system supporting device, and solves the problems that defects in a metal part cannot be detected, and the defect recognition precision is low under high-frequency vibration noise interference. The method comprises the following steps: scanning a metal part of the cantilever system to generate a three-dimensional image, and collecting a stress wave signal of the surface of the metal part under the action of a dynamic load; based on the cyclic load parameter of the metal part, extracting the spectrum characteristic of the stress wave signal, and determining the energy distribution characteristic of the bolt joint by combining the geometric structure parameter of the bolt joint of the metal part; and fusing the three-dimensional image, the energy distribution characteristics, the temperature rise abnormal region and the electric field intensity distribution to generate a multi-source data set, and generating respective segmentation results of the fatigue crack and the insulation aging defect of the metal part in combination with the cyclic load parameters. According to the invention, high-precision collaborative segmentation of metal fatigue cracks and insulation aging defects of the cantilever system is realized.

The invention relates to the technical field of electrical design, and discloses a low-voltage power distribution cabinet system diagram drawing method and system, and the method comprises the steps: obtaining a prefabricated file; engineering information is input into the prefabricated low-voltage power distribution cabinet loop information table, and an effective low-voltage power distribution cabinet loop information table is generated through automatic calculation; an EXCEL VBA program is operated in the effective low-voltage power distribution cabinet loop information table, and an effective low-voltage power distribution cabinet loop arrangement table is automatically generated; adjusting the original input data, adjusting the result of model selection matching calculation, and automatically generating an effective low-voltage power distribution cabinet system diagram table by using a cell formula; an EXCEL VBA program is operated in the effective low-voltage power distribution cabinet system graph table, and a low-voltage power distribution cabinet system graph book file is automatically generated; running a CAD VBA program to read a low-voltage power distribution cabinet system image-text file, and automatically drawing a low-voltage power distribution cabinet system diagram; according to the method, the working efficiency and the design quality are effectively improved, the practicability is effectively improved, and meanwhile good compatibility is achieved.

The invention discloses an automatic report generation method based on a large model Agent, which comprises the following steps: user demand input: transmitting a demand provided by a user to the large model Agent for processing to obtain an executable code; the generated executable code is used as core logic of an application program, and a system mirror image is generated through a virtualization technology; the system mirror image is mounted in the cloud native service platform through the MCP mirror image mounting service; database operation and data table generation; performing intelligent analysis on the result data by using a large model knowledge base; an analysis result is transmitted to an MCP data visualization service for data visualization; the final results are summarized to form a report with illustrations and texts; and exporting the report. According to the method, the data analysis report can be efficiently and automatically generated, manual intervention is reduced, the working efficiency is improved, meanwhile, high expandability and flexibility are achieved, and the method is suitable for various data analysis tasks.

The invention relates to the technical field of virtualization frameworks, in particular to a data persistence storage method and electronic equipment. The data persistence storage method is applied to an Android system, and comprises the following steps: starting a client application in the Android system, and creating a mapping file under an application sandbox directory of the client application; the method comprises the following steps: reading a system image in which a MicroAndroid is stored through a client application; adding the mapping file to the system mapping, and setting a block device corresponding to the mapping file; the method comprises the following steps: starting a virtual machine in an Android system, and loading a system image in the virtual machine to start MicroAndroid; the method comprises the following steps of: reading a preset key on the MicroAndroid, and performing encryption processing on block equipment by using the preset key to obtain encrypted block equipment; and on the MicroAndroid, based on the encryption block device and a preset key, creating a decryption block device, and mounting the decryption block device to the target directory. According to the method, when the virtual machine code is updated, the data stored in the mapping file is not influenced and can be persistently stored, and meanwhile, the data read-write security is ensured.

The invention discloses a test and evaluation method for a virtualization system in multiple scenes, which comprises the following steps: deploying an executable file compiled by a test script at a virtualization client, and testing the performance of a client operating system to judge the performance loss of the virtualization system to computer resources. The method comprises the following steps: step 1, creating a project, and configuring system parameters; 2, integrating a test program into a project, and generating a mirror image file; step 3, packaging a complete virtualization system mirror image; 4, transmitting the mirror image to a development board through a network protocol; 5, executing a command to start a system, and logging in a system console through a serial port; and 6, calling and executing the function test script, the performance test script and the security test script.

The invention discloses a point cloud-based overhead line system image acquisition device, and relates to the technical field of overhead line system detection, the point cloud-based overhead line system image acquisition device comprises a vehicle body, the vehicle body is provided with a three-dimensional point cloud scanning module, a walking mechanism and a shooting unit, the three-dimensional point cloud scanning module is used for acquiring three-dimensional point cloud data of an overhead line system, and the shooting unit is used for shooting the three-dimensional point cloud data of the overhead line system. The shooting unit comprises a suspension shooting unit, an environment shooting unit and a plurality of suspension shooting units, and the control system is used for obtaining a suspension position and a suspension position according to the three-dimensional point cloud data, and when the vehicle body moves to the suspension position, the suspension shooting position is selected according to the suspension position; and the control unit is used for controlling the running mechanism and the suspension shooting unit to work according to the suspension shooting position, then controlling the suspension shooting unit to collect the suspension image, and controlling the suspension shooting unit to collect the suspension image when the vehicle body moves to the suspension position so as to meet the production requirements of accurate detection and verification and repair in the prior art.

A method executed by a computer system with a processor system involves analyzing read profiling data associated with a first filesystem image to determine the sequence in which a guest context accessed multiple files during its startup. Subsequently, a second filesystem image is created based on this profiling data, comprising various data block sets, each set representing files accessed by the guest context. The data block sets are arranged in the second filesystem image according to the order in which the guest context accessed the corresponding files, ensuring a sequential writing process. This innovative approach optimizes filesystem organization and retrieval efficiency based on actual usage patterns during system initialization.

A bonding apparatus includes a first holder, a second holder, a mover, an optical system, an adjusting device and control circuitry. The first holder holds a first substrate. The second holder holds a second substrate. The mover brings a first one of the first holder and the second holder closer to a second one of the first holder and the second holder. The optical system images alignment marks provided on the first substrate and the second substrate. The adjusting device adjusts a depth of focus of the optical system. The control circuitry performs an approach processing and an imaging processing. In the approach processing, the control circuitry brings the first one closer to the second one. In the imaging processing, the control circuitry images, during the approach processing, the alignment marks, after locating the first substrate and the second substrate within the depth of focus of the optical system.

This invention discloses a method and system for constructing an AI-native operating system based on ecosystem collaboration, belonging to the field of operating system technology. The invention first acquires and decomposes target requirements to form a set of functional and non-functional requirements, constraints, and priority lists. Based on this, it generates an operating system architecture description including kernel configuration and subsystem division. Then, it generates and completes multi-dimensional checks on module code and configuration files, and compiles, links, and packages them through a toolchain to generate an operating system image. This invention employs a three-layer AI model to realize requirement reasoning, system construction, and test optimization, forming a complete automated closed loop from requirement input to runnable image output. Simultaneously, it establishes a unified ecosystem collaboration mechanism to support multi-vendor collaborative development. This invention effectively reduces errors and repetitive work caused by manual intervention, shortens the development cycle, improves system stability and adaptability, and promotes the collaborative evolution and improvement of the AI-native operating system ecosystem.

The present application discloses a basic input / output system security protection method, apparatus, device and medium, relating to the field of computer system security technology. The method comprises extracting a firmware capsule file from a basic input / output system image file to achieve independent verification of the update content, so that the system can seamlessly adapt to dynamic firmware updates and avoid compatibility issues caused by changes in signature rules. The firmware capsule file includes a first signature and a signature file, and the signature file includes a core code file and a second signature. This layered design allows for dynamic adjustment of verification strategies based on security requirements at different levels. The first layer verifies the integrity of the signature file to ensure that the firmware capsule file has not been tampered with. The second layer verifies the integrity of the core code file to ensure that the core functions have not been tampered with, thereby enhancing dynamic adaptation capabilities.

In order to solve the problem that under the condition that a PMON program is not changed, the PMON program cannot provide inter-core memory isolation through two addresses of 0 * 8000000000000000 and 0 * 9000000000000000 configured by a direct mapping configuration window, the AMP architecture multi-core real-time operating system deployment method capable of meeting the inter-core memory isolation is designed on a Loongson platform. According to the multi-core deployment method for the AMP architecture operating system based on the Loongson platform disclosed by the invention, by designing a secondary bootstrap program, the mode that a PMON program directly loads an operating system mirror image is changed into the mode that the secondary bootstrap program is firstly loaded, and the operating system is started by the secondary bootstrap program. The secondary bootstrap program configures the MMU through a page table mapping address translation mode, so that operating systems between different cores can run in different address spaces, and an isolated running environment is provided. Once a certain operating system accesses the address space of other core operating systems, the system will report TLB refilling exceptions to prevent other core memories from being damaged, and therefore the inter-core memory isolation is achieved.

Image processing system (1) that recognizes an image of an object (W) from an image taken by an imaging device (4) whose position relative to the object (W) is changed by a robot (2), wherein the image processing system (1) comprises: a controller (52) that acquires a positional relationship between the imaging device (4) and the object (W) based on positional information from the robot (2), which is used to identify the position of the imaging device (4) in a robot coordinate system, and positional information that specifies the position of the object (W) in an image coordinate system; and a memory (51) that stores a model pattern formed from feature points extracted from a training image in the form of three-dimensional position information based on the model pattern and a positional relationship between the imaging device (4) and the object (W) when the image was acquired for teaching, where the controller (52) executes a detection process for detecting the object (W) from a detected image containing the object (W), based on the result of the match between feature points extracted from the detected image and the model pattern, and wherein the detection process involves the repetition of a projection process in which the model pattern is projected onto an imaginary plane to capture the feature points in the image coordinate system, assuming that the feature points extracted from the captured image are detected in a certain part of the imaginary plane, and an adaptation process of comparing the feature points in the image coordinate system extracted from the detected image with the feature points in the image coordinate system based on the model pattern captured in the projection process, whereby the object (W) from the detected image is detected with a high degree of adaptation based on the result of the adaptation process.

The application provides a GPU driver software updating method and device, a host and a storage medium, and relates to the technical field of computers.The method comprises the following steps: detecting GPU calling information of a GPU application program running in a plurality of containers of a target virtual machine, and whether a GPU driver software version in a target guest system image deployed by the target virtual machine is compatible; the target virtual machine is any virtual machine in a plurality of virtual machines; if the GPU driver software version is incompatible, updating the GPU driver software version deployed in the target guest system image; and the GPU application program keeps running in the plurality of containers of other virtual machines. The GPU driver software version deployed in the target guest system image is updated, so that the consumption of additional resources is avoided, and the GPU application program running in the plurality of containers of other virtual machines can still keep running based on the GPU driver software version in the guest system image of other virtual machines, without suspending all services, so that the service stability is improved.

The application discloses a code compiling method and device for system upgrading, comprising the following steps: when detecting new code, a first component corresponding to the code is identified; based on a baseline image package saved by a system, a software deb package is obtained by compiling the first component and a second component dependent on the first component; the baseline image package comprises compiling information required for component compiling; when receiving a packaging instruction input by a user, the deb package is updated to the baseline image package, and a new system image upgrading bin package is obtained based on the updated baseline image package. The embodiment of the application can realize time-sharing component compiling, solves the problem of long time consumption of centralized compiling, realizes real-time component compiling while updating code, and performs deb package replacement and image package production after receiving a packaging instruction, thereby avoiding the problem of long time consumption of recompiling all components and ensuring the development efficiency of a project.

The present invention discloses a deployment method and system for a launch vehicle, specifically related to the field of operating system deployment. The present invention designs storage partitions through multi-partition system files; secondly, a health monitoring software is deployed to monitor the status of hardware and software in real time. After the device is powered on and starts up, the system sequentially boots the image files of three system partitions, and records the startup status after each startup; if the system gets stuck or encounters abnormal situations during startup, the monitoring software automatically processes them. Finally, the confidence level of each partition is calculated based on the functional importance index and dynamic voting is performed to determine the most reliable system version as the default startup system. When all image files cannot be started normally, the system enters the remote recovery mode, and downloads a temporary system image through an FTP connection for redeployment and recovery.

An optical system images an object with light with a wavelength of 8 μm or higher, and includes a diaphragm and an optical element having an aspherical surface and disposed at a position different from that of the diaphragm. In a section including an optical axis, a thickness of an optical element monotonously increases from an on-axis to an outermost off-axis or the optical element is the thinnest at a position other than an on-axis and an outermost off-axis. A predetermined condition is satisfied.

The invention discloses a plant root system image occlusion prediction method combining a diffusion model and a GAN generator, and the method comprises the steps: 1, collecting different plant root system images, and simulating an occlusion region in the image through an occlusion mask; 2, constructing a plant root system image occlusion prediction network; 3, the diffusion model is combined with a GAN generator for joint training; 4, alternately training the training result and the discriminator; and 5, predicting the new plant root system image with the occlusion by using the trained model to obtain a complete plant root system image. The method aims to predict the occlusion area in the plant root system image through the deep learning technology, the reconstruction precision, detail reduction and image quality evaluation indexes are remarkably improved, and the method has high application value, especially in the fields of plant growth research, root system structure analysis and the like.

This invention provides a method, apparatus, and electronic device for image file processing. It receives image creation requests for system disk data and data disk data, operating independently of a public cloud private network environment. Based on the image creation request, it obtains a first image script and a second image script. Based on the first image script, the second image script, and the image configuration parameters carried in the image creation request, it generates a system image file corresponding to the system disk data and a data image file corresponding to the data disk data. This method can obtain image scripts corresponding to system disk data and data disk data respectively based on image creation requests carrying image configuration parameters. Based on the image scripts and image configuration parameters, it creates images of system disk data and data disk data in a bare metal server. Because users do not need to migrate or install data on the data disk using other methods, it improves the availability of data storage and reduces user operating costs.

The specification provides a component upgrading method, device and server, and relates to the technical field of communication. A component upgrading method is applied to a processor in a server, and includes the following steps: in a server starting process, sending a reading request to a virtual storage medium in the server through an established access channel, wherein the virtual storage medium is created by a management controller in the server; obtaining a system image corresponding to the reading request, and upgrading a component deployed in the server through an upgrading file obtained from the system image; and after the upgrading is completed, disconnecting the access channel of the virtual storage medium, and restarting the server. Through the above method, the flexibility of the server in upgrading the deployed component can be improved.

One example provides a method enacted on a display device comprising an eye tracking system. The method comprises receiving, from the eye tracking system, eye tracking system data for an eye of a user of the display device. The method further comprises determining a blind spot location of a physiological blind spot of the eye of the user of the display device from the eye tracking system data. The method also comprises projecting a system image based at least in part on the blind spot location. The system image includes content related to operation of the display device.