58 results about "Embedded applications" patented technology

The invention discloses a radiation source data intelligent distillation method and application thereof, and belongs to the field of communication, unmanned aerial vehicles and artificial intelligence. According to the method, an unmanned aerial vehicle data set is collected and established, a time-frequency domain comprehensive anti-interference feature extraction method based on real and virtual part separation and a CV-ResNet classification model are constructed, a data preprocessing algorithm and the classification model are subjected to module integrated distillation, and after the validity of the algorithm is verified, the distillation model is applied to an unmanned aerial vehicle load. Through integrated distillation, soft target output inverse operation, graph feature operation, EGCN graph feature representation and a feature point edge loss function, algorithm embedded application is realized, the recognition efficiency and the attack countermeasure success rate are improved, the load weight of the unmanned aerial vehicle is reduced, and the endurance and comprehensive efficiency are improved.

The invention discloses a terahertz spectrum chip, and belongs to the field of terahertz technology and micro-nano electromechanical systems. According to the invention, a spectral resolution microstructure is directly integrated on a focal plane array detection structure, so that chip-level spectral decoding is realized, the size of the system is remarkably reduced, and the system has excellent miniaturization and on-chip characteristics and is suitable for portable and embedded application scenes; the back of the focal plane array detection structure is provided with a signal reading pin or an interconnection layer to be connected with a spectrum extraction module, spectrum information is extracted, a delay line or a frequency scanning device dependent on a traditional terahertz spectrum system is not needed, and the system has the characteristics of non-scanning and static imaging. And the real-time performance and the stability of the terahertz spectrum information acquisition process can be ensured. The invention provides a feasible technical path for industrialization of miniaturized terahertz functional devices.

Disclosed subject matter encompasses method operations performed by an embedded device. Exemplary deployments may include a BMC as the embedded device, but the embedded device is expressly not limited to BMCs. Disclosed subject matter enables partially-sandboxed execution environments (SSEEs) with an auditable framework supporting unrestricted or restricted system access via privilege elevation capabilities not generally permitted within conventional container solutions. Functional modularity is implemented without incurring the substantial overhead inherent in fully modular and isolated containers. Disclosed SSEEs require no intermediate runtime or the corresponding overhead. Disclosed subject matter may leverage sandboxing functionality native to at least some software package management utilities (SPMUs) including, as a non-limiting example, a Flatpak utility suitable for use in embodiments employing a Linux OS, to achieve footprint-efficient SSEEs.

The application relates to the technical field of embedded application, in particular to a microcontroller current self-detection circuit structure. The microcontroller current self-detection circuit structure comprises the following steps: an arbitrary GPIO port of a microcontroller is connected to the CLR input end of a counter as an output control signal; the Qn output end of the counter is connected to the gate of a PMOS tube; the Qn+1 output end of the counter is connected to the enable end of an analog switch and the WKUP input end of the microcontroller; the first resistor R1 and the second resistor R2 are connected in series between the power supply VCC and the power supply end VDD of the microcontroller; the drain-source of the PMOS tube is connected to the two ends of the second resistor R2; the positive and negative input ends of a differential operational amplifier are connected to the power supply VCC and the power supply end VDD of the microcontroller respectively; the output end of the differential operational amplifier is connected to one end of the third resistor R3 through the analog switch; and the other end of the third resistor R3 is connected to the positive end of the capacitor C. The application relies on the ADC of the microcontroller itself, realizes the self-detection of the power consumption current of the microcontroller under the full mode condition with relatively low cost and in a more convenient and fast manner.

The application provides a VISA library running method and device based on an ARM embedded platform, and relates to the technical field of testing and measurement, and comprises the following steps: initializing a layered architecture of a VISA library; the layered architecture of the VISA library comprises an application layer, an API interface layer, a core logic layer, a hardware abstraction layer and a driver layer; discovering and establishing a communication session connection with at least one measuring instrument; wherein a session attribute and a preset attribute associated with a data reading operation are included in a session structure body of the communication session; setting at least one preset attribute for the VISA library; sending at least one control command to a target measuring instrument; wherein the target measuring instrument comprises at least one; reading response data for the control command from the target measuring instrument based on the preset attribute and writing the response data into a buffer; and closing the communication session established with the at least one measuring instrument, so as to alleviate the technical problem that the VISA library is difficult to meet the requirements of an embedded application scenario in high performance.

Small and compact Deep Learning models are required for embedded AI in several domains. In many industrial use-cases, there are requirements to transform already trained models to ensemble embedded systems or re-train those for a given deployment scenario, with limited data for transfer learning. Moreover, the hardware platforms used in embedded application include FPGAs, AI hardware accelerators, System-on-Chips and on-premises computing elements (Fog / Network Edge). These are interconnected through heterogenous bus / network with different capacities. Method of the present disclosure finds how to automatically partition a given DNN into ensemble devices, considering the effect of accuracy—latency power—tradeoff, due to intermediate compression and effect of quantization due to conversion to AI accelerator SDKs. Method of the present disclosure is an iterative approach to obtain a set of partitions by repeatedly refining the partitions and generating a cascaded model for inference and training on ensemble hardware.

The invention provides a dynamic code loading method for an embedded application, which comprises the following steps: in response to a current operation of a user on a target application, determining a current working mode corresponding to the current operation, the current working mode being any one of a plurality of working modes of the target application; according to the current working mode, obtaining a target control code corresponding to the current working mode by calling a preset dynamic loader, and loading the target control code into the unified execution area to cover a control code corresponding to the previous working mode; obtaining an execution result of the target control code in the unified execution area; wherein the target control code is stored in a preset memory, and the memory comprises control codes corresponding to a plurality of working modes respectively; wherein the switching frequency among the multiple working modes of the target application is lower than a preset threshold value. The invention further provides a dynamic code loading device and equipment for the embedded application. According to the method, the response speed and the control precision of the system are improved through dynamic on-demand loading.

Integrated circuit devices, systems, machine-readable media, and methods are provided to reduce power consumption by supplying a lower voltage to an embedded application-specific integrated circuit (ASIC) block of a programmable logic device than an overall supply voltage while still achieving target performance. An integrated circuit device according this disclosure may include programmable logic circuitry configurable to be set to operate at a first voltage and a first ASIC block configurable to be set to operate at a second voltage different than the first voltage.

The invention relates to the technical field of infrared test systems, and discloses an infrared automatic test system which comprises a trigger device, a flash lamp and a thermal infrared imager, the trigger device is composed of a single-chip microcomputer control center, a relay, a current limiting circuit and a communication module, and the trigger device is a system lower computer and is responsible for receiving instructions of an upper computer control PC and sending the instructions to the flash lamp and the thermal infrared imager. A trigger signal generated according to the instruction is output to the trigger device; control software of the system is installed on the control PC, and the control PC is provided with a control and display interface and is responsible for realizing a man-machine interaction function; the single-chip microcomputer is an STM32 single-chip microcomputer and is used for system integration development of embedded application. The voltage of the relay is 5V, and the relay is used for generating short-circuit signals; the current limiting circuit is composed of a resistor, and the current in the circuit is limited to be 5 mA. According to the invention, an automatic thermal infrared imager automatic control system is adopted, manual control in the experiment process is converted into automatic control, and the test efficiency and quality are improved.

The invention discloses an embedded code compiling test method, device and equipment and a storage medium, and relates to the technical field of embedded testing, and the embedded code compiling test method comprises the steps that a target IO address space corresponding to a to-be-tested target embedded application and corresponding target memory area information located on a nonvolatile memory are determined from an embedded system; generating a Makefile and a link script based on the target memory area information, and determining a target virtual address space corresponding to the target IO address space in a preset non-embedded system; the target IO address space is mapped into the target virtual address space, so that a preset non-embedded system can access the target IO address space, and in the preset non-embedded system, a Makefile and a link script are utilized to perform compiling testing on a to-be-tested embedded code corresponding to the to-be-tested target embedded application. Therefore, according to the method and the device, the embedded code can be effectively operated in the Windows system.

The application relates to an ion accelerator standardized power supply controller and a dynamic local reconfigurable method thereof, which comprises a main plate, a standardized self-defined interface, a main control plate interface and a main control plate; the main plate is provided with a communication interface for communication between the power supply controller and other devices; the standardized self-defined interface is used for connecting the main plate with different function sub-plates, WR sub-plates and power supply modules; the main control plate interface is used for collecting all controllable signals of the main plate to the main control plate; the main control plate is provided with an ARM processor and an FPGA; the ARM processor is configured with an embedded EPICS application program for reading and writing the FPGA and directly publishing related variables in the main control plate into standard EPICS supported PV variables to communicate with an upper computer; the FPGA is configured with a modular bottom layer regulator framework, and the monitoring and control of main circuits of different types of accelerator power supplies are realized by dynamically and locally reconfiguring corresponding modules. The application can be widely applied in the field of ion accelerators.

The invention provides an anomaly analysis method and device for an embedded application, electronic equipment and a storage medium, and the method comprises the steps: obtaining a target core dump file which is from a target core dump platform and corresponds to a target embedded application; determining a target loading process according to the target core dump platform and a target visual platform needing to load the target core dump file; and according to the target loading process, loading the target core dump file to the target visual platform, so as to perform anomaly analysis on the target embedded application through the target visual platform. Through application of the method and the device, the target core dump file can be automatically loaded to the target visual platform, so that the purpose of not needing manual repeated and tedious configuration can be realized, and the technical effect of effectively reducing the manual operation intensity in embedded application exception analysis is achieved; the problem that the abnormality analysis of the embedded application is tedious in the prior art is solved.

The invention discloses an implementation device capable of configuring a data conversion circuit. A register set is configured, a control logic signal is generated, logic conversion processing is conducted on data through the control signal, and finally data filling output is conducted. The device is simple in implementation structure, adopts a synchronous clock design, is convenient for time sequence check and verification, quickly completes data conversion and filling, is convenient to implement and expand on a chip, and enhances the practicability of embedded application; when the method is used for data conversion, the processing flow is simple and easy to control. The device can conveniently generate the data conversion format according to the requirement of the conversion mode so as to meet the application requirement. Therefore, the configurable data conversion circuit is an ideal structure realized by the configurable data conversion circuit.

Embedding applications, or parts thereof, into other applications, or parts thereof, is described. In an example, an engagement with a first application, or a part thereof, can be detected, which can trigger a second application, or a part thereof, to be initialized in response to the engagement. In at least one example, the first application, or a part thereof, can provisionally transfer to the second application, or a part thereof. Based at least in part on detecting a user interaction with the second application, or a part thereof, a portion of the user interaction can be embedded in the first application, or a part thereof, and the embedded portion of the user interaction can be presented via a user interface associated with the first application, or part thereof, via a user computing device.

The invention provides a VISA library operation method and device based on an ARM embedded platform, and relates to the technical field of testing and measuring, and the method comprises the following steps: initializing a layered architecture of a VISA library; the layered structure of the VISA library comprises an application layer, an API interface layer, a core logic layer, a hardware abstraction layer and a driving layer; discovering and establishing a communication session connection with at least one measuring instrument; wherein a session structure body of the communication session comprises a session attribute and a preset attribute associated with the data reading operation; setting at least one preset attribute for the VISA library; sending the at least one control command to the target measuring instrument; wherein the number of the target measuring instruments is at least one; reading response data for the control command from the target measurement instrument based on a preset attribute, and writing the response data into a buffer area; closing the communication session established with the at least one measuring instrument; the technical problem that it is difficult for a VISA library to meet the requirements of an embedded application scene in a high-performance mode is solved.

Systems, apparatuses, methods, and computer program products for embedded whiteboard retrospectives are provided. Examples of embedded whiteboard retrospectives are provided via user-accessed applications to one or more uses that may not have permissions to directly access embedded functionalities. An example apparatus is configured to receive a sprint retrospective creation request indication via a user device utilizing a user-accessed application; output, to the user device, a sprint retrospective template selection interface element comprising a whiteboard sprint retrospective template selection interface element associated with a whiteboard embedded functionality of an embedded application; receive, from the user device, a whiteboard sprint retrospective template selection indication; generate a whiteboard retrospective data object comprising whiteboard retrospective data and a plurality of whiteboard retrospective interface elements; and cause rendering of the plurality of whiteboard retrospective interface elements by the user-accessed application on the user device with a sprint whiteboard interface of the user-accessed application.

The present disclosure discloses a portable offline biometric data management system and a method thereof. The system (100) comprises a portable gadget (200) comprises a battery (210) to optimize energy consumption; a sensor array (208) to collect the biometric data, a motherboard (202) to receive collected biometric data, a processing unit (20a) to process collected biometric data; an embedded application (20b) to manage biometric data; a user interface (216) to provide a seamless interaction experience, a display unit (204) to display instructions and real-time feedback, status updates, enhancing the user's understanding and control; a keypad (206) to allow users to interact directly with the system; a transceiver module (212) to facilitate data interaction with RFID / NFC cards (214), a workstation (300) establish a connection with said portable gadget (200); a data accession module (30a) to receive stored biometric data; a profile management module (30b) to manage user information profiles enabling updates, edits, and secure handling of user-specific data; a user authentication module (30c) to authenticate users.

The application discloses an SPI interface flash memory data protection method and relates to the technical field of data protection. The method can monitor external or internal power supply fluctuation by using existing reset or other monitoring circuits. The master control chip is reset after the power supply fluctuation is monitored, so that the master control chip does not operate the flash memory when the power supply fluctuates. The original reset circuit on the board can be used to protect the flash memory data when the internal or external power supply fluctuates. The method does not need to add a circuit module, has great advantages for small embedded applications, has obvious cost advantages, and only needs to add several resistors to complete the circuit function.

Embodiments of the present disclosure provide improved embedding of an application within another application. Specifically, embodiments provide improved interoperability mechanisms supporting such embedding utilizing access to a storage access API. The storage access API in some embodiments provides a particular user-facing application access associated with a first application to particular shared cookie(s) or other data utilized to access functionality of an embedded application from within the user-facing application. Embodiments additionally or alternatively account for security barriers or security requirements of applications and / or supporting applications, for example browser applications, that facilitate the access to the embedded application from within the user-facing application associated with the user-accessed application by utilizing a credential-based access component.

The invention provides an implementation method and system for expanding a CPU addressing space. The implementation method comprises the steps that the address space of target equipment is equally divided into a plurality of address blocks; defining a section of fixed address window in a physical address space of the CPU; the CPU is connected with a programmable configuration register through a bus and writes a register value according to the mapping addresses of the address blocks; taking a register value stored in the configuration register as an index value, and mapping an access address sent by the CPU to a corresponding address in an address block specified by the index value in real time; and dynamically switching the next address block into the addressing window of the CPU by modifying the value of the register, so that the CPU always accesses a section of continuous fixed address window. According to the invention, the dynamic address switching access position is realized by configuring the register value, so that the 32-bit CPU kernel can access the 4G address space exceeding the physical limitation, and the effects of stable and continuous operations such as data access and the like, low cost to adapt to middle and low-end embedded applications and improvement of market competitiveness are achieved.

The invention discloses an AIoT application-oriented RISC-V vector extension strong-coupling small data access device and method, and is applied to the technical field of processor architecture. In the prior art, main core decoding + interface transmission + coprocessor re-decoding + shared storage arbitration causes fixed start / synchronization overhead, and the prior art is constrained by a bandwidth upper limit in a memory intensive scene. A small DMA controller which only needs two self-defined instructions and is strongly coupled with a vector instruction is integrated, address generation of the controller supports a linear and fixed step length sequence, and therefore traditional vector data handling is compressed from multi-stage round-trip to one-time triggering + hardware direct reaching, fixed start / synchronization overhead and arbitration interference are remarkably reduced, and the efficiency of data handling is improved. And the carrying bandwidth and the end-to-end performance are improved in a data-intensive embedded application. The device and the method provided by the invention can be effectively integrated in an AIoT-oriented mature RISC-V-based MCU (Microprogrammed Control Unit).

A scalable AI control system is disclosed, based on modular AI micro-models that operate within embedded or distributed environments. Each micro-model is a compact, self-contained unit optionally configured to perform data-driven or symbolic reasoning, or a combination thereof. The invention includes secure containers with runtime enforcement, symbolic fallback mechanisms, and dynamic protocol adaptation. These micro-models may be deployed on hardware-independent platforms and are capable of autonomous or coordinated operation across mesh or non-mesh networks. The system enables flexible, verifiable control logic suitable for resource-constrained or adaptive embedded applications.

The application relates to the technical field of state estimation methods of integrated navigation systems, and discloses an adaptive filtering method and device for integrated navigation, which comprises the following steps: obtaining sensor measurement data at a current time; obtaining a predicted state at the current time; constructing a differential feature sequence at a historical time; inputting the differential feature sequence into a hybrid neural network respectively to output a first feature vector and a second feature vector; performing physical constraint parameterization reconstruction based on Cholesky decomposition on the first feature vector and the second feature vector respectively to generate a predicted state covariance matrix and a measurement noise covariance matrix; obtaining Kalman gain at the current time by using a standard analytical formula of Kalman gain; and performing state updating to obtain a posterior state estimation at the current time, so that the technical bottleneck faced in an embedded application scene with a known measurement model, a fixed structure and a low dimension can be solved.

Methods, apparatuses, systems, and computer program products are disclosed for outputting deferred workspace identification interface component(s) in a project management and collaboration system. In an example embodiment, an apparatus is caused to receive an embedded application content creation request in response to user interaction with a user-accessed application user interface rendered in a user-accessed application instance, cause generation of an embedded application content data object, programmatically assign the embedded application content data object to a workspace data structure, generate a deferred workspace identification interface component comprising an identification of the workspace data structure, and output the deferred workspace identification interface component for rendering to an embedded application user interface displayed in association with the user-accessed application instance.

An apparatus comprises a processing device configured to provide telemetry data from a core component of a scalable embedded application deployed on an information technology asset to a support platform, the telemetry data being utilizable for determining a current state of the information technology asset. The processing device is also configured to receive and parse, at the core component of the scalable embedded application, a component definition data structure to identify a subset of additional components to be run on the scalable embedded application based at least in part on a predicted future state of the information technology asset. The processing device is further configured to dynamically adjust which of the additional components are run as part of the scalable embedded application based at least in part on the parsing of the component definition data structure.

The invention discloses a low-power-consumption card detection intelligent awakening method based on machine learning, which belongs to the field of low-power-consumption embedded application and comprises the following five steps: step 1, establishing an awakening and non-awakening dichotomy discrimination model; 2, collecting a data set containing information such as an RSSI time sequence; step 3, concluding and extracting features from the directions of time domain, frequency domain, difference, starting and ending features and the like; 4, dividing a training set and a test set for model training and performance evaluation respectively, and training a decision tree model on a PC by utilizing MATLAB to verify the accuracy; step 5, saving node information of the decision tree in a FLASH of the MCU, acquiring the node information when the MCU is powered on, and controlling a lightweight advanced rule engine of the card reading chip through a configuration register so as to realize LPCD awakening; and step 6, continuous learning. The system block diagram is shown in the figure 1, card approaching and various interference events are accurately distinguished, the false wake-up or non-wake-up rate of the system is reduced, and the reliability is improved while the power consumption of equipment is ensured.

The invention discloses a helium mass spectrum data acquisition system based on annular buffering and multi-thread task scheduling, and relates to the technical field of helium mass spectrum leak detector software system design and development, the system comprises a kernel hardware layer, a software ecological layer and an embedded application layer, the state conversion layer is used for controlling acquisition and uploading of analog signals in the kernel hardware layer in different system states, performing conversion of different system states when state conversion logic is met, and performing cooperative interaction with the kernel hardware layer and the embedded application layer; the thread management module is also used for dynamically adjusting the buffer area under different system states and scheduling and managing each thread in the thread pool; the embedded application layer is used for realizing interaction with the kernel hardware layer and the software ecological layer and performing state early warning and power consumption control under different system states; the problems that a traditional embedded helium mass spectrum data acquisition system is insufficient in real-time performance, poor in stability, too high in resource occupation and disordered in state conversion are solved.

This application provides a method, system, media, program product, and terminal for dynamic integration of embedded SDK applications. This application solves the asynchronous dependency conflict problem commonly found in traditional SDKs through a dynamic import conversion engine and preloading mechanism, effectively eliminating the risk of integration failure caused by factors such as network latency, resource loading timing, and module dependency competition. Based on a pre-defined modular export adapter library and a universal module definition multi-format export adaptation mechanism, this application enables a single SDK to run seamlessly in heterogeneous environments. The parameterized dynamic mounting mechanism of this application reduces the complexity and error probability of SDK integration through standardized interface design and automated configuration processing, thereby significantly reducing technical support costs, developer training costs, and project implementation risks. Through a sandboxed dependency isolation mechanism, this application fundamentally ensures the stability and reliability of system operation through a progressive isolation strategy and dependency version conflict detection algorithm.

An image forming apparatus according to an embodiment includes a storage device and a processor. The storage device stores firmware, an embedded application bundled in the firmware, and additional information prepared separately from the embedded application. The processor installs the firmware and the embedded application. The processor installs the embedded application after installing the firmware, and executes setting relating to the installed embedded application by referring to the additional information.