175 results about "System image" patented technology

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 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 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 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.

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.

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 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.

The application discloses a scene-based non-uniformity correction method, and relates to the technical field of image processing.The application extracts a difference area by analyzing the difference degree of a night vision system continuous image sequence, combines the information entropy of the image to evaluate the importance score of the frame, thereby identifying key frames and non-key frames; for the key frames, full-frame storage is adopted and online average calculation is performed to generate initial non-uniformity correction parameters; the non-key frames only retain difference area data, and the difference area data is locally updated based on the correction parameters of the key frames, and the correction effect is further optimized through the statistical characteristics of the difference area; the standard deviation convergence condition is dynamically adjusted to optimize the non-uniformity correction precision, and the newly-added key frames are automatically processed in the real-time image sequence, and redundant data is deleted.The application significantly improves the image processing efficiency and correction precision, reduces the redundant calculation and storage overhead, is high in adaptability, can optimize the correction parameters in real time, and is particularly suitable for efficient and accurate night vision system image processing.

The invention provides a fault repairing method and device for an off-line type station end monitoring host and a medium, and relates to the technical field of power systems. The method comprises the steps of obtaining a host identifier and a fault type of a target host after connection with the target host is detected; according to the host identifier of the target host, host repair data corresponding to the target host is determined, and the host repair data comprises host backup data and a system mirror image; and quickly repairing the target host according to the fault type and the host repairing data. According to the method provided by the invention, the timeliness and efficiency of fault repair of the monitoring host are improved, so that the normal operation of the station end monitoring system is ensured.

The application relates to the technical field of high-speed rail operation and maintenance, and discloses a high-speed rail overhead line system completion acceptance method and system based on 4C detection, which comprises the following steps: collecting overhead line system image data, acquiring pose data and spatial positioning data of an inspection vehicle, and performing synchronous calibration processing to establish a mapping relationship and obtain calibrated overhead line system images; inputting the calibrated overhead line system images into a multi-scale target detection model to output detection results, performing pose correction on the detection results, combining the mapping relationship, and generating three-dimensional positioning coordinates; constructing a time sequence feature vector, inputting the time sequence feature vector into a prediction model, outputting a defect evolution trend and a risk probability of a component, and grading the risk probability; according to the risk grade and the spatial positioning data, combining a knowledge graph driven rule engine, generating an intelligent work order mapping to field equipment, collecting maintenance results, and feeding back. The application realizes the improvement of overhead line system component identification and spatial positioning accuracy, and improves the safety and reliability of high-speed rail overhead line system completion acceptance.

The present disclosure provides various aspects for mobile and automated processing utilizing additive manufacturing. The present disclosure includes methods processing vision system data. Vision system image data may be processed by artificial intelligence algorithms. The artificial intelligence algorithms may perform GAN based synthesis of image edits to plan deposits of sized features upon detected defects of a surface. An artificial intelligence chip may perform rapid image processing on the fly as a mobile additive manufacturing apparatus functions.

Image sensor, which includes the following: a pixel array including multiple pixels configured and functional to detect light from a scene, wherein the scene includes an object to be detected and a background image, wherein each pixel of the multiple pixels is configured to generate a new voltage signal in response to the intensity of light received by the pixel; a memory for storing digital values ​​corresponding to a predetermined voltage bandwidth around a prior voltage signal R of at least some of the multiple pixels corresponding to the light detected from the background image, wherein the voltage bandwidth defines a positive delta voltage +Δ and a negative delta voltage -Δ relative to the background voltage signal R; a sample-and-hold or track-and-hold module capable of sampling the new voltage signal corresponding to one of the several pixels selected; a digital-to-analog converter that generates a reference voltage R+Δ or R-Δ from the digital values ​​stored in the memory; a comparator that receives the new voltage signal sample value from the hold module and receives one of the reference voltages R+Δ or R-Δ for the selected pixel to compare it with the voltage signal sample value, wherein the comparator is configured to produce a high-voltage output signal if the voltage signal sample value is greater than the reference voltages R+Δ or R-Δ, and to produce a low- or zero-voltage output if the voltage signal sample value is less than the reference voltages R+Δ or R-Δ; a two-bit register containing a most significant bit (MSB) and a least significant bit (LSB), wherein the two-bit register provides a two-bit output signal; and a logic module that receives the voltage output from the comparator, wherein the logic module is configured and functional as follows: Selecting the reference voltage R+Δ to be supplied to the comparator, and setting the MSB to a logic "0" in response to a low-voltage output signal from the comparator or to a logic "1" in response to a high-voltage output signal from the comparator; and then Selecting the reference voltage R-Δ to be supplied to the comparator and setting the LSB to a logic "0" in response to a low-voltage output signal from the comparator or to a logic "1" in response to a high-voltage output signal from the comparator; a background subtraction module configured and functional to receive the two-bit output signal from the two-bit register for the selected pixel and, based on the two-bit output signal, to identify the selected pixel as detecting light from a scene that is different from the light detected by the same pixel in the background image; and a processing module for generating an output image that includes the selected pixel identified by the background subtraction module.

A high-throughput confidential computing method and system based on a RISC-V architecture are provided. The method includes: S1, acquiring a hardware device tree configuration file to classify each physical resource into a normal partition or a security partition; S2, loading a security manager; S3, mapping memory resources in the normal and security partitions to the normal and security domains, respectively; registering CPU resources in the normal and security partitions to the normal and security domains, respectively; and registering an interrupt handler function; S4, linking an image file of a security file system with a security kernel file to generate an operating system image of the security domain; S5, reading the operating system image, and loading the same to a memory address of the security domain; and S6, executing the initialization of the security domain according to an interrupt request from the normal domain.

Image display system and trim element comprising such a system The invention relates to an image display system (1) comprising: a translucent protective lens (9), defining a display area (5) and a peripheral area (7) extending at least partially around the display area; a display device (13), positioned opposite at least the display area (5), comprising a front face, facing the protective lens, and a rear face, opposite the front face; a first reflective layer (15), facing the rear face of the display device (13), extending opposite the display area (5) and at least partially opposite the peripheral area (7); and a front luminous layer (11) disposed between the lens (9) and the display device (13), extending from the display area (5) and covering at least partially the peripheral area (7). Figure for the abbreviation: Figure 1

Image processing, comprising: sampling (Fig. 4; 410), using a 3D grid (Fig. 5), a computer-generated volumetric effect data for a virtual scene at a first sampling resolution, to obtain a first set of

The invention discloses an equipment starting method and device, a storage medium and electronic equipment, and relates to the technical field of electronic equipment.The method comprises the steps that when equipment is started for the first time, at least one starting hotspot file is obtained, the starting hotspot file is used for recording related entries of a hotspot code path, and a pre-compiled product of a system mirror image is pre-compiled; determining a method storage position corresponding to the starting hotspot file; and storing the method storage position so as to pre-read the corresponding hotspot data file block from the pre-compiled product to a memory according to the method storage position when the equipment is restarted. The startup speed of the electronic equipment and the fluency of the electronic equipment at the initial use time can be effectively improved, and the user experience is improved.

This invention proposes a structurally enhanced discriminative width learning system for image classification. First, it introduces graph regularization based on class relationships to ensure that similar samples remain closely distributed in the projection space. Second, it adds intra-class divergence regularization to further enhance the aggregation of samples within the same class. Furthermore, it introduces inter-class divergence regularization to ensure that the centers of different classes are far apart in the feature space. Finally, in the output layer regression stage, it replaces the Frobenius norm regularization in ridge regression with sparse norm regularization to effectively suppress noise and redundant information. This image classification scheme, while maintaining the simplicity and efficiency of the optimization process, organically integrates three different types of structured information—intra-class structure, inter-class structure, and local manifold information—into a unified model, enabling the learned feature representations to possess stronger structure preservation and discriminative capabilities.

The invention discloses a PXE small-to-large system and an implementation method thereof. The PXE small-to-large system comprises a message input module, a PXE guide manager, a network guide server and a client processing module. The method is applied to the network boot process of the server, and supports the automatic configuration and management of the server by dynamically selecting and loading the proper operating system mirror image.

The invention provides a method and system for preventing insufficient mirror image space of an embedded system, and the method comprises the steps: obtaining the distribution information of a disk space where a mirror image file is located after Android source code compiling is completed and the target mirror image file is generated; calculating used space and residual space of a specific partition in the disk; comparing the residual space with a preset threshold value; if the residual space is smaller than the threshold value, terminating the compiling process or generating error reporting information, and prompting that the mirror image space is insufficient; according to the method, the problem discovery opportunity is advanced from the debugging stage to the compiling stage, so that the repair cost is greatly reduced, the problem discovery opportunity is integrated into an automatic construction assembly line, manual intervention is not needed, the development efficiency is improved, the quality of factory mirror images is ensured, and batch production accidents caused by insufficient space are avoided.

The invention discloses an optical system imaging quality evaluation method and device, electronic equipment and a storage medium. The evaluation method comprises the steps of obtaining design parameters and actual processing test data of an optical system; constructing an actual processing three-dimensional model based on the design parameters and the test data; establishing an electromagnetic simulation model based on an actually processed three-dimensional model, and simulating phases actually generated by all structural units to obtain actual phase delay of the whole metamaterial lens; simulating the whole optical system and calculating an optical performance evaluation index based on the actual phase delay of the super-structure lens; and determining the acceptability of actual processing based on the optical performance evaluation index. According to the method, the influence of the processing error of the super-structure lens on the imaging quality of the optical system can be evaluated in advance, guidance is provided for design and assembly verification links in the research and development process, and the research and development speed of the folding-super hybrid optical system is increased.

The application discloses a helium spectrum imaging system suitable for a magnetic confinement fusion device, which comprises a jet pipeline, a relay optical path system, a monochromatic gas-filled imaging system, a polychromatic spectrometric system and a high-speed camera system or a photoelectric conversion detector array system. The jet pipeline sprays helium to form a gas cloud object surface, and the monochromatic gas-filled imaging system and the polychromatic spectrometric system respectively image the object surface to a specified region of a photosensitive surface of a high-speed camera. The monochromatic gas-filled imaging system images spectral lines of a specific wavelength in the object surface image to the photosensitive surface of the high-speed camera, and obtains high-time-resolution evolution of the object surface image; the polychromatic spectrometric system images spectral lines of four specific wavelengths in the object surface image to a photosensitive surface of another high-speed camera, and can obtain electron temperature and density in combination with a collision radiation model. The application increases the spectrometric system available for electron temperature and density measurement, and greatly improves the diagnostic capability.

The invention discloses an image restoration method for an infrared simple lens imaging system with a wide signal-to-noise ratio range, and belongs to infrared image processing. The method comprises the following steps: S1, collecting a data set of infrared simple lens imaging as a training data set of a restoration model; s2, a Wavelet-ProxNet model is constructed to serve as a restoration model, and the restoration model adopts an asymmetric encoder-decoder structure and comprises an encoder and a decoder; s3, establishing a composite loss function as a constraint, and training the recovery model by using the training data set; and S4, for an image to be restored, generating a restored image by the trained restoration model. The diffraction lens infrared image reconstruction network model and the reconstruction method thereof provided by the invention have the advantages of high reconstruction quality, strong noise generalization and low calculation complexity, and promote practical and lightweight development of a diffraction lens infrared imaging technology.

The application discloses an automatic server operating system installation and configuration system and method, which is provided with an image management module and a configuration template library, can store various operating system images, provides predefined templates and supports user customization, faces complex scenes, and can be flexibly selected by the user to adapt to images and templates, quickly adapt to new business scenes, and solve the problem that the prior art is difficult to meet complex scenes; meanwhile, with the aid of an automatic collaborative computing model, data interaction and collaboration of each module are realized, an automatic installation engine calls an API to automatically install and configure, efficiency is improved, manual errors and delays are reduced, and business is ensured to be timely and stably online during large-scale deployment; secondly, parameters are accurately analyzed by the automatic installation engine, servers are accurately configured according to rules and requirements, various configurations are accurately set according to templates for different types of servers, the optimal configuration of servers is ensured to adapt to business requirements, and a customized configuration effect is accurately achieved.

The application discloses a software batch test method and a computer readable storage medium, and the method comprises the following steps: creating a virtual machine; installing a corresponding system on the virtual machine according to a preset system image file, and respectively installing a software to be tested and test software in each system; uploading virtual disk files of each system in a virtual machine directory to cloud storage, generating a custom image corresponding to each system through an elastic computing cloud service, and creating a preset number of servers according to the custom image; and respectively testing the software to be tested through the test software in each server. The application can realize compatibility test, and can reduce the equipment cost and labor cost during batch test.

The application discloses a high-reliability on-orbit file system deployment method, compared with the error-prone characteristics of the past on-board file system adopting a double-redundancy structure, the application innovatively divides a NorFlash memory into a NorFlash physical area and a NorFlash file system two parts. The three identical operating system images and basic software are stored in the NorFlash physical area. The NorFlash file system is further divided into a main partition and a redundant partition. The two partitions each store a backup of the basic software in the physical area and various extended function software. In this way, the error is minimized, and the basic operation of the on-board file system is ensured.

The application discloses a dynamic partition burning method and device, a chip, a chip module and a storage medium. The total size of at least one system image data in a first system image file to be burned to a dynamic partition is acquired, the format of the first system image file is a non-sparse matrix format, and the dynamic partition comprises at least one sub-logical partition; information of the total size is written into header information of a second system image file, the second system image file is a sparse matrix format file of the first system image file; and at least one system image data in the first system image file is burned to at least one sub-logical partition respectively according to the header information, so that only system image data needs to be downloaded and burned during burning, and a reserved space does not need to be burned, and the downloading and burning efficiency is improved.