36 results about "Embedded applications" patented technology

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 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.

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 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.

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).

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.

The embodiment of the invention provides an embedded application software log analysis method, device and equipment, and is applied to the technical field of embedded system software engineering and operation and maintenance. The method comprises the steps that an embedded device end monitors operation of application software, generates and records binary-format log data containing element keywords when a predefined specific event is detected, and transmits the log data to an analysis end; the analysis end automatically analyzes the received log data to diagnose whether a predefined fault type is matched or not; and if the predefined fault type is not matched or a deep analysis instruction initiated by the user is received, carrying out artificial interactive analysis to generate an artificial interactive analysis result. In this way, the contradiction in the aspects of resource consumption, analysis efficiency, analysis depth, interaction friendliness and the like in the prior art can be solved, the operation and maintenance efficiency of the whole software life cycle of the embedded software is remarkably improved, and the limitation that all links are disjointed and the function is single in the prior art is broken through.

The present application relates to embedded application, specifically relates to the compiler optimization method for embedded application based on digital signal processor, register configuration C code is translated into OR instruction and AND instruction of intermediate expression IR, through instruction selection processing to OR instruction and AND instruction to BST instruction and BCLR instruction specific to digital signal processor, reach optimization purpose, the C code of cycle, judgment, call, return is translated into these jump instruction of JMP, JN, JNC, CALL, RET, through instruction replacement to the delay slot NOP after the jump instruction of digital signal processor, reach optimization purpose, the technical scheme provided by the present application can effectively overcome the defects of the prior art, such as the need for multiple instructions to implement bit assignment and low code execution efficiency.

The present application belongs to the technical field of neural network lightweight design and target detection tracking neural network fast inference framework, and discloses a lightweight commodity identification and tracking system, method, storage medium, equipment and terminal, which collects and labels commodity identification training data set through installation of picture collection facilities in actual intelligent vending scene; designs a backbone feature extraction network based on Ghost Module, designs a multi-scale commodity detection module based on RFP, and designs a multi-target detection and target occlusion identification module based on DIOU_NMS algorithm; adds a commodity tracking algorithm in the lightweight commodity identification network to analyze the behavior of the user, and discriminates the user's taking and abnormal operation based on continuous key frames. The present application provides a lightweight commodity identification and tracking fusion network, which can provide suggestion guidance for embedded application of network deployment in edge intelligent equipment in corresponding scenes.

The application relates to a software deployment method and device, equipment and a storage medium, and relates to the technical field of automatic driving embedded application software development. The method is applied to a multi-core processor; the multi-core processor comprises system cores of multiple core types; the method comprises the following steps: acquiring a function type of a target software system; determining a target core type corresponding to the target software system according to the function type; the target core type is any one of the multiple core types; and deploying the target software system on the system core of the target core type. Therefore, the matching degree of the system core and the target software system can be improved, and multiple software systems can be flexibly deployed on the multi-core processor.

Embedding applications, or parts thereof, into other applications, or parts thereof, is described. In an example, an engagement with a first application associated with a merchant can be detected, which can cause the first application to add a user to a waitlist associated with a merchant location of the merchant, and a notification can be sent to a user computing device of the user. Detecting an interaction with an interactable element of the notification can trigger a second application associated with the merchant to be initialized in response to the engagement. In at least one example, the first application can provisionally transition to the second application, or a part thereof. Based at least in part on detecting a user interaction with the second application, and a menu can be presented via a user interface associated with the second application via the user computing device.

Techniques and architecture described herein provide an efficient manner in which to interface with an emergency telecommunications service such as, for example, Government Emergency Telecommunications Service (GETS), from a mobile communication device using a short message service (SMS) embedded application on the mobile communication device to initiate and optimize an emergency telecommunications service call set up. A user opens a native SMS application on their mobile communication device. The user then enters a short code, e.g., GETS, as the destination number of a SMS message. In the SMS message body, the user enters the destination phone number of the party the user is attempting to reach. The user is verified by, for example, a voice biometric passphrase. Upon verification, the user may be connected to destination phone number.

Methods, apparatuses, systems, and computer program products are disclosed for outputting embedded application access share interface component(s), in a project management and collaboration system. In an example embodiment, an apparatus receives an embedded application access share request in response to user interaction with an embedded application user interface displayed in association with a user-accessed application, accesses at least a user-accessed application team member repository, determines a member share suggestion set comprising one or more user-accessed application member objects, generates an embedded application access share interface component comprising the member share suggestion set and outputs the embedded application access share interface component for rendering to the embedded application user interface.

This invention relates to the intersection of computer vision and embedded tracking technology, and optimizes and improves the RK3588 embedded platform to address issues such as poor scene adaptability and insufficient robustness in multi-target tracking. A lightweight YOLOv5-RK detector is employed to reduce computational overhead, a forward differential adaptive thresholding mechanism is designed to adapt to complex scenes, Kalman filtering is optimized through dynamic estimation of Q / R parameters to improve motion prediction robustness, and IOU is replaced with DIoU to optimize data association matching. The improved ByteTrack-RK algorithm achieves a 2.91% improvement in MOTA, a 5.57% improvement in IDF1, and a 111 reduction in IDs on the MOT dataset. The resulting deep learning-based multi-target tracking RK3588 embedded platform achieves a speed of 45 FPS when tracking 720P video streams, meeting the real-time multi-target tracking requirements of embedded applications such as UAV aerial surveillance and intelligent transportation.

The invention discloses a multipath power supply intelligent distribution system in a power supply control board. The multipath power supply intelligent distribution system comprises a power supply input unit, a main control unit, a multipath sampling unit, a multipath driving switch unit, a priority configuration unit, a communication unit and a protection unit. The power supply input unit is used for providing stable power supply for the whole system and each path of load; the multi-path sampling unit is connected with the power input unit, the multi-path driving switch unit, each path of load and the main control unit and is used for acquiring operation parameters of each path of load and the system and transmitting the operation parameters to the main control unit, and a multi-path power intelligent distribution system in the power control board has multiple protection functions of overvoltage, overcurrent, over-temperature, reverse connection, short circuit and the like. The safety of the power supply control board and each load can be effectively protected; meanwhile, wide voltage input, multiple communication modes and flexible priority configuration are supported, and the system adapts to multiple application scenes such as industrial control, communication, vehicle-mounted and embedded application scenes.

Techniques for enabling a hub application to perform token brokering on behalf of an embedded application, which is embedded in the hub application, to thereby hydrate an authentication state for the embedded application are disclosed. An authentication sign-in event is performed to authenticate a hub application with an account. As a result, the hub application receives, from a token broker platform, a first access token that represents a hydrated authentication state with the account. An embedded application is launched. While refraining from performing a subsequent authentication sign-in event, the hub application performs token brokering on behalf of the embedded application. The hub application sends a second access token to the embedded application.