78 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 discloses a heterogeneous hardware acceleration method for plant disease and insect pest image recognition based on an FPGA and an ARM, and the method comprises the steps: employing a CSPdarknet53tiny as a trunk feature extraction network of Yolov4tiny, employing a layer fusion principle during the export of operator parameters, carrying out the optimization of a data flow and an interface of a designed hardware accelerator, employing a dual-buffer structure, and enabling the hardware acceleration to be more stable and reliable. An AXI bus Central DMA is designed at an interface, and finally, prediction frame decoding after network post-processing and a non-maximum suppression algorithm are implemented at an embedded PS end, so that an identification result can be obtained in real time when an accelerator network obtains a result. According to the method, an efficient and accurate hardware accelerator is designed in an embedded application scene, particularly in the aspect of plant disease and insect pest image recognition, the network recognition accuracy is improved, meanwhile, the parameter quantity of a network and the transmission efficiency of hardware are considered, greater possibility is provided for deployment of a recognition system at a mobile terminal, and the application prospect is wide. Meanwhile, the labor cost is reduced, and a powerful technical basis is provided for subsequent plant disease and pest control.

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.

Embodiments of the present disclosure provide a content display method and apparatus, a device and a storage medium. The method comprises: displaying target content in a first display mode, wherein the target content is content of an embedded application, and the content of the embedded application comprises description information and picture information; and in the first display mode, the description information is displayed by means of an information layer, and the picture information is displayed by means of a picture layer; and in response to a mode switching operation, switching from the first display mode to a second display mode, wherein in the second display mode, the information layer is hidden to stop displaying the description information. The content display method provided by the embodiments of the present disclosure can improve the display effect of the content of embedded applications and increase the efficiency of acquiring the content of embedded applications, thereby improving the user experience.

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 discloses a model training data processing method and system based on an improved YOLO algorithm. The method relates to the technical field of YOLO algorithm data processing, and comprises the steps of data conversion and original data configuration, PC end prediction recognition model generation, embedded end prediction recognition model generation and embedded end prediction recognition model updating. The method comprises the following steps: extracting a predefined data set to identify and count original parameters configured by a YOLO algorithm; configuring initial parameters according to a YOLO algorithm, and inputting the initial parameters into a training script for data training; converting the PC end prediction identification model into an embedded application environment model; and configuring initial parameters according to the updated YOLO algorithm to reconfigure the embedded end prediction identification model. The effect of improving the application extension adaptability of the YOLO model on the embedded platform is achieved, and the problem that in the prior art, the application extension adaptability of model training data processing of a YOLO algorithm on the embedded platform is insufficient is solved.

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.

Disclosed herein are systems, devices, and processes for gesture detection. A method includes capturing a series of images. The method includes generating motion isolation information based on the series of images. The method includes generating a composite image based on the motion isolation information. The method includes determining a gesture based on the composite image. The processes described herein may include the use of convolutional neural networks on a series of time-related images to perform gesture detection on embedded systems or devices.

Provided herein are techniques to facilitate enhanced cloud access security broker (CASB) functionality via in-band application observability in which a CASB can be implemented in-line between the client device and an embedded application security service. In one instance, a method may include, obtaining, by a CASB from a client device, a first message for an application transaction involving an application operating via the client device. The first message can be augmented to include first security metadata and can be forwarded to trigger one or more actions by an embedded application security service associated with the application. The CASB may obtain a second message from the embedded application security service that includes second security metadata, and one or more actions can be triggered at the CASB based, at least in part, on the second security metadata included in the second message.

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.

The present invention relates to an online upgrade and solidification method for in-chip dynamically loading application software, belonging to the field of industrial control. In the present invention, a certain amount of memory is applied in the RAM as the address space of the Application Software for temporarily storing the uploaded application software data; the flash memory is divided into three parts: one part is used for storing the general-purpose boot image; one part is used for storing the operating system image; and the remaining address space is reserved. The present invention does not need to use off-chip storage devices, does not need to customize and develop a general boot program, and does not need to rely on solidification tools. It only relies on the in-chip flash memory to help users solve the problems of online upgrade, solidification and version rollback of embedded application software.

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 provides an application program development method and system and a computer readable storage medium, and the method comprises the steps: obtaining user operation information which comprises page component arrangement information, global variable information bound with a page component, flow chart interface information and business function information associated with a flow chart interface; the user operation information further comprises user software system information, and obtaining a corresponding target system function according to the user software system information; and calling the target system function to generate a component code from the page component arrangement information, identify flow chart interface information, generate a logic code, bind with the page component according to global variable information bound with the page component, bind the business function information to the page component corresponding to the business function information, and form an application program. Different system functions can be selected according to the system selected by the user to generate the application program, use of multiple systems is supported, and low-resource embedded application development is supported.

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.